Molecular experiment data analysis method and device and computer equipment

Abstract

The invention relates to a molecular experiment data analysis method and device and computer equipment. The method comprises the following steps: converting original molecular experiment data uploaded by molecular experiment equipment to obtain standard molecular structure data under a preset data structure; when it is detected that the standard molecular structure data meets a preset data analysis condition, a standard data analysis rule corresponding to the standard molecular structure data is inquired from multiple candidate data analysis rules, and any candidate data analysis rule is obtained through configuration based on a mapping relation between reagent characteristics and equipment attributes; and according to the standard data analysis rule, analyzing the standard molecular structure data to obtain a data analysis result. By adopting the method, the analysis effect of analyzing the molecular experiment data is improved.

Description

Technical Field

[0001] The present application relates to the field of bioinformatics technology, and in particular to a molecular experiment data analysis method, device and computer equipment. Background Art

[0002] With the continuous development of bioinformatics, molecular experimental technology has been continuously innovated, from traditional PCR (Polymerase Chain Reaction) and electrophoresis technology to cutting-edge high-throughput sequencing and single-cell analysis technology. Taking PCR technology as an example, accurately analyzing PCR molecular experimental data is crucial for early diagnosis and precise treatment of diseases, improving the efficiency of drug research and development, rapid detection and prevention of pathogens, and in-depth research on gene functions.

[0003] At present, in the process of analyzing molecular experimental data, a single type of molecular experimental data is usually processed based on its own standardized process. However, due to the wide variety of instruments that generate molecular experimental data, different types of molecular experimental equipment have significant differences in data storage formats and fluorescence detection channel settings, resulting in a lack of comparability of data analysis results across devices, which in turn makes it difficult for application personnel to identify the data analysis results and the recognition efficiency is low. Therefore, the current analysis effect of molecular experimental data is poor. Summary of the Invention

[0004] Based on this, it is necessary to provide a molecular experiment data analysis method, device and computer equipment to improve the analysis effect of molecular experiment data in order to solve the above technical problems.

[0005] In a first aspect, the present application provides a method for analyzing molecular experimental data, comprising:

[0006] Convert the original molecular experimental data uploaded by the molecular experimental equipment to obtain standard molecular structure data under the preset data structure;

[0007] When it is detected that the standard molecular structure data satisfies a preset data parsing condition, querying a standard data parsing rule corresponding to the standard molecular structure data from a plurality of candidate data parsing rules, wherein any of the candidate data parsing rules is configured based on a mapping relationship between reagent characteristics and device attributes;

[0008] The standard molecular structure data is parsed according to the standard data parsing rules to obtain a data parsing result.

[0009] In one embodiment, the conversion of the original molecular experimental data uploaded by the molecular experimental device to obtain standard molecular structure data under a preset data structure includes:

[0010] Extracting data metadata and data experiment information from the original molecular experiment data;

[0011] In the case where it is detected based on the data meta-information that the original molecular experimental data meets the preset data conversion condition, querying the standard molecular structure data template under the preset data structure according to the data experimental information;

[0012] The standard molecular structure data is obtained by filling the data experimental information in the standard molecular structure data template.

[0013] In one embodiment, the data experimental information includes structured data experimental information and unstructured data experimental information; and the standard molecular structure data is obtained by filling the data experimental information in the standard molecular structure data template, including:

[0014] Obtaining first basic molecular structure data by filling the structured data experimental information in the standard molecular structure data template;

[0015] Performing structured analysis on the unstructured data experimental information to obtain second basic molecular structure data;

[0016] The standard molecular structure data is generated according to the first basic molecular structure data and the second basic molecular structure data.

[0017] In one embodiment, the standard molecular structure data includes first type standard molecular structure data; parsing the standard molecular structure data according to the standard data parsing rules to obtain a data parsing result includes:

[0018] Preprocessing the standard data parsing rules to obtain target standard data parsing rules that match the parsing dimension of the first type of standard molecular structure data;

[0019] Reorganizing the first type of standard molecular structure data into standard molecular analysis data according to the target standard data analysis rule;

[0020] The data analysis result is generated according to the standard molecular analysis data.

[0021] In one embodiment, the reorganizing the first type of standard molecular structure data into standard molecular analysis data according to the target standard data analysis rule comprises one of the following:

[0022] According to the first identification information of the first type of standard molecular structure data, querying the target standard data parsing rule for a rule condition corresponding to the first type of standard molecular structure data, and reorganizing the first type of standard molecular structure data into the standard molecular parsing data according to a matching relationship between the first type of standard molecular structure data and the rule condition;

[0023] The first type of standard molecular structure data is divided into a plurality of first standard molecular structure sub-data, and the first type of standard molecular structure data is reorganized into the standard molecular analysis data according to a matching relationship between all the first standard molecular structure sub-data and the target standard data analysis rule.

[0024] In one embodiment, the standard molecular structure data includes second type standard molecular structure data; parsing the standard molecular structure data according to the standard data parsing rule to obtain a data parsing result includes:

[0025] According to the second identification information of the second type standard molecular structure data, dividing the second type standard molecular structure data to obtain a plurality of groups of second standard molecular structure sub-data;

[0026] Determining reagent association information for all second standard molecular structure sub-data;

[0027] When it is determined based on the reagent association information that each second standard molecular structure sub-data satisfies a preset recombination condition, recombining all the second standard molecular structure sub-data into standard molecular analysis sub-data according to a matching relationship between each second standard molecular structure sub-data and the standard data analysis rule;

[0028] By integrating all standard molecular analysis sub-data, standard molecular analysis data of the second type of standard molecular structure data is obtained, and the data analysis result is generated based on the standard molecular analysis data.

[0029] In one embodiment, before searching for a standard data parsing rule corresponding to the standard molecular structure data from a plurality of candidate data parsing rules when the standard molecular structure data satisfies a preset data parsing condition, the method further comprises:

[0030] Acquiring multiple analytical correlation information of the standard molecular structure data;

[0031] When it is detected that all analytical association information is complete, a mapping relationship between all analytical association information and experimental analysis result data is constructed;

[0032] When it is detected based on the mapping relationship that all parsing association information and the experimental analysis result data pass the validity check, it is determined that the standard molecular structure data meets the preset data parsing conditions.

[0033] In one embodiment, before converting the original molecular experiment data uploaded by the molecular experiment device to obtain standard molecular structure data under a preset data structure, the method further includes:

[0034] Acquiring device attribute information of the molecular experiment device and reagent characteristic information of an experimental reagent used to perform a molecular reaction in the molecular experiment device;

[0035] configuring a plurality of candidate data parsing rules according to the association between the device attribute information and the reagent characteristic information;

[0036] The device attribute information, reagent characteristic information and all candidate data parsing rules are stored in a structured manner.

[0037] In a second aspect, the present application also provides a molecular experiment data analysis device, comprising:

[0038] The conversion module is used to convert the original molecular experimental data uploaded by the molecular experimental equipment to obtain the standard molecular structure data under the preset data structure;

[0039] a query module configured to query a standard data parsing rule corresponding to the standard molecular structure data from a plurality of candidate data parsing rules when it is detected that the standard molecular structure data satisfies a preset data parsing condition, wherein any of the candidate data parsing rules is configured based on a mapping relationship between reagent characteristics and device attributes;

[0040] The parsing module is used to parse the standard molecular structure data according to the standard data parsing rules to obtain data parsing results.

[0041] In a third aspect, the present application further provides a computer device comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0042] The original molecular experiment data uploaded by the molecular experiment equipment is converted to obtain standard molecular structure data under a preset data structure; when it is detected that the standard molecular structure data meets the preset data parsing conditions, the standard data parsing rule corresponding to the standard molecular structure data is queried from multiple candidate data parsing rules, wherein any of the candidate data parsing rules is configured based on the mapping relationship between reagent characteristics and equipment properties; according to the standard data parsing rule, the standard molecular structure data is parsed to obtain a data parsing result.

[0043] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0044] The original molecular experiment data uploaded by the molecular experiment equipment is converted to obtain standard molecular structure data under a preset data structure; when it is detected that the standard molecular structure data meets the preset data parsing conditions, the standard data parsing rule corresponding to the standard molecular structure data is queried from multiple candidate data parsing rules, wherein any of the candidate data parsing rules is configured based on the mapping relationship between reagent characteristics and equipment properties; according to the standard data parsing rule, the standard molecular structure data is parsed to obtain a data parsing result.

[0045] In a fifth aspect, the present application further provides a computer program product, comprising a computer program, which, when executed by a processor, implements the following steps:

[0046] The original molecular experiment data uploaded by the molecular experiment equipment is converted to obtain standard molecular structure data under a preset data structure; when it is detected that the standard molecular structure data meets the preset data parsing conditions, the standard data parsing rule corresponding to the standard molecular structure data is queried from multiple candidate data parsing rules, wherein any of the candidate data parsing rules is configured based on the mapping relationship between reagent characteristics and equipment properties; according to the standard data parsing rule, the standard molecular structure data is parsed to obtain a data parsing result.

[0047] The above-mentioned molecular experiment data analysis method, device and computer equipment first convert the original molecular experiment data uploaded by the molecular experiment equipment into standard molecular structure data under a preset data structure; then, when it is detected that the standard molecular structure data meets the preset data analysis conditions, the standard data analysis rules required for analyzing the standard molecular structure data are queried from multiple candidate data analysis rules, wherein all candidate data analysis rules are configured based on the mapping relationship between reagent characteristics and equipment properties; finally, based on the standard data analysis rules, the standard molecular structure data are analyzed to obtain data analysis results; since the original molecular experiment data uploaded by all molecular experiment equipment can be converted into standard molecular structure data under the preset data structure, and can all match the corresponding standard By using data parsing rules to parse data, it is possible to ensure the output of formatted data parsing results of molecular experimental data from different molecular experimental equipment, thereby achieving the purpose of standardized and unified parsing of molecular experimental data across devices, comparable results and efficient integration, rather than parsing and processing a single type of molecular experimental data based on its own standardized process. Therefore, it overcomes the problem that due to the wide variety of instruments that generate molecular experimental data, different categories of molecular experimental equipment have significant differences in data storage formats and fluorescence detection channel settings, resulting in a lack of comparability of data analysis results across devices, and thus makes it easy for application personnel to have difficulty in identifying data analysis results and low recognition efficiency. Therefore, the parsing effect of molecular experimental data is improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the following briefly introduces the drawings required for use in the embodiments or related technical descriptions. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0049] Figure 1 Schematic diagram of a molecular experiment data analysis method according to an embodiment;

[0050] Figure 2 A schematic diagram of the configuration of candidate data parsing rules of a molecular experiment data parsing method in one embodiment;

[0051] Figure 3 A schematic flow chart of a molecular experiment data analysis method in another embodiment;

[0052] Figure 4 A schematic diagram of a process for converting raw molecular experimental data into standard molecular structure data in a molecular experimental data analysis method according to another embodiment;

[0053] Figure 5 A schematic diagram of data verification of standard molecular structure data of a molecular experiment data analysis method in another embodiment;

[0054] Figure 6 A schematic diagram of configuration of reagent characteristic information of a molecular experiment data analysis method in another embodiment;

[0055] Figure 7 A schematic diagram of an analysis process for analyzing molecular experiment data using a molecular experiment data analysis method according to another embodiment;

[0056] Figure 8 is a structural block diagram of a molecular experiment data analysis device in one embodiment;

[0057] Figure 9 FIG. 1 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0058] In order to make the purpose, technical solutions and advantages of this application more clear, the following further describes this application in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0059] First of all, accurate analysis of molecular experimental data plays a vital role in many aspects such as early diagnosis of diseases, efficiency improvement of drug development and in-depth research on gene functions. Taking PCR technology as an example, there are many types of PCR instruments on the market. There are differences in their detection methods, output methods of test results, and definitions of various manufacturers. How to achieve standardization of molecular experimental data output to result interpretation of equipment from different manufacturers through a unified technical solution, so as to meet the unified result output on the application side, reduce the difficulty of result identification for application personnel, improve efficiency and simultaneously improve user experience, is an urgent problem to be solved in the field of bioinformatics. Therefore, there is an urgent need for a molecular experimental data analysis method that can improve the analysis effect of molecular experimental data.

[0060] In one embodiment, Figure 1As shown, a molecular experiment data analysis method is provided. This embodiment takes the method applied to a molecular experiment data analysis system as an example. The molecular experiment data analysis system is deployed on a terminal, and the terminal includes but is not limited to a personal computer and a laptop computer. The molecular experiment data analysis system includes a conversion module, a query module and a parsing module, wherein the conversion module is used to convert the original molecular experiment data uploaded by the molecular experiment equipment to obtain standard molecular structure data under a preset data structure; the query module is used to query the standard data analysis rule corresponding to the standard molecular structure data from multiple candidate data analysis rules when it is detected that the standard molecular structure data meets the preset data analysis conditions, wherein any candidate data analysis rule is based on the reagent characteristics and the device characteristics. The mapping relationship between the equipment attributes is configured; the parsing module is used to parse the standard molecular structure data according to the standard data parsing rules to obtain the data parsing results; and then through the information interaction between the conversion module, the query module and the parsing module, the original molecular experiment data uploaded by all molecular experimental equipment can be converted into standard molecular structure data under the preset data structure, and can be matched to the corresponding standard data parsing rules for data parsing, and then the output of the formatted data parsing results of the molecular experiment data from different molecular experimental equipment can be guaranteed, and the purpose of standardized and unified parsing of molecular experiment data across devices, comparable results and efficient integration can be achieved, so that the parsing effect of parsing molecular experiment data can be improved. It is understandable that the molecular experiment data parsing system can also be deployed on a server, and can also be deployed on a system including a terminal and a server, and realized through the interaction between the terminal and the server. In this embodiment, the method includes the following steps:

[0061] Step 102 : converting the original molecular experiment data uploaded by the molecular experiment equipment to obtain standard molecular structure data under a preset data structure.

[0062] It should be noted that molecular experimental equipment refers to professional instruments and equipment used to study the structure, function, interaction and reaction process of biological molecules. Specifically, it can be molecular preparation and processing equipment, molecular reaction and amplification equipment, and molecular detection and analysis equipment. Among them, molecular reaction and amplification equipment may include PCR instruments. It is understandable that different PCR instruments often have different communication protocols, such as serial port (RS-232), USB, TCP / IP (such as through dedicated software API) and file transfer (such as generating CSV / Excel after the experiment), and also have heterogeneity in data format, such as binary format, text format and custom protocol message. Different PCR devices will report molecular experimental data in different ways. Specifically, the device IoT platform will parse the raw molecular experimental data from different PCR devices into standard molecular structure data through the corresponding implementation class. Raw molecular experimental data refers to the recorded data directly generated by the molecular experimental device during the experiment and without human intervention or algorithm processing. Specifically, it can be temperature control data, fluorescence signal data, and device status data. The method of converting raw molecular data into standard molecular structure data can be specifically a format mapping method. For example, the raw molecular experimental data can be mapped to the PDB format.

[0063] It should be noted that standard molecular structure data refers to molecular experimental data that conforms to preset structured specifications. Specifically, conforming to preset structured specifications may mean that field definitions conform to the specifications, or that format requirements conform to the specifications. For example, in one feasible method, the fluorescence signal value in the original molecular experimental data is expressed as "1000RFU", while in the standard molecular structure data, it is expressed as "ctValue=28.5".

[0064] As an example, step 102 includes: mapping the original molecular experiment data uploaded by the molecular experiment equipment to a preset data structure to obtain standard molecular structure data.

[0065] Step 104 , when it is detected that the standard molecular structure data meets the preset data parsing conditions, a standard data parsing rule corresponding to the standard molecular structure data is searched from a plurality of candidate data parsing rules, wherein any candidate data parsing rule is configured based on the mapping relationship between reagent characteristics and device attributes.

[0066] It should be noted that the preset data parsing conditions refer to a set of conditions used to trigger rule queries, which may specifically include data types, quality indicators, and experimental types; in some feasible embodiments, data fields for detecting whether the preset data parsing conditions are met can be extracted from the standard molecular structure data. When the extracted data fields are consistent with the preset data fields, it is determined that the standard molecular structure data meets the preset data parsing conditions; candidate data parsing rules refer to preconfigured rules for parsing standard molecular structure data. It is understandable that before parsing molecular experimental data, it is necessary to define specific parsing logic according to the detection method of the reagent. For example, if qualitative detection is performed on standard molecular structure data, it is necessary to separately define the sample type, negative control, The parsing rules for positive quality control are configured, wherein, when configuring the candidate data parsing rules, a combination configuration can be made for the relevant parsing logic. For example, for the FAM channel in the reaction solution of tube A, the negative rule can be configured as a CT value less than or equal to 0, or a CT value greater than 40, or no specific CT value, and the positive rule can be configured as a CT value greater than 0 and less than or equal to 40. In the process of defining the candidate data parsing rules, it is necessary to exhaustively enumerate the mapping relationships of each channel and each target according to the standard parameters defined in the reagent manual to define the parsing rules in detail, so as to meet the requirements of different molecular experimental equipment for reporting the original molecular experimental data, and to match the corresponding standard data parsing rules for parsing. For example, in an implementable manner, reference can be made to Figure 2 , Figure 2 This is a configuration diagram representing candidate data parsing rules, where different candidate data parsing rules are configured based on the mapping relationship between reagent characteristics and device attributes. Reagent characteristics characterize the properties of biological or chemical reagents used in the experiment, such as six respiratory pathogen acid detection reagents, and device attributes characterize the technical parameters of molecular experimental equipment, such as fluorescence channels and target types. Standard data parsing rules are used to parse standardized molecular structure data into biological information that can be directly used for analysis.

[0067] As an example, step 104 includes: extracting data fields from the standard molecular structure data, and when the data fields are found to be consistent with the preset data fields, determining that the standard molecular structure data meets the preset parsing conditions, and extracting reagent characteristic information and device attribute information from the standard molecular structure data, splicing the reagent characteristic information and the device attribute information into rule index information, and using the rule index information as an index, querying multiple candidate data parsing rules to obtain the standard data parsing rules corresponding to the standard molecular structure data.

[0068] Step 106: parse the standard molecular structure data according to standard data parsing rules to obtain data parsing results.

[0069] It should be noted that the data analysis results represent a set of information with biological or chemical significance obtained after processing through standard data analysis rules; in some feasible embodiments, the data analysis results can specifically be single-channel molecular experimental data using standard data analysis rules to verify that the curve conforms to the exponential growth model, or can be multi-channel molecular experimental data using standard data analysis rules to verify the interference and synergistic relationship between different channels.

[0070] As an example, step 106 includes: generating a data analysis result according to a matching relationship between the standard molecular structure data and the standard data analysis rules.

[0071] The above molecular experiment data parsing method first converts the original molecular experiment data uploaded by the molecular experiment equipment into standard molecular structure data under a preset data structure; then, when it is detected that the standard molecular structure data meets the preset data parsing conditions, the standard data parsing rules required for parsing the standard molecular structure data are queried from multiple candidate data parsing rules, wherein all candidate data parsing rules are configured based on the mapping relationship between reagent characteristics and equipment properties; finally, based on the standard data parsing rules, the standard molecular structure data is parsed to obtain data parsing results; since the original molecular experiment data uploaded by all molecular experiment equipment can be converted into standard molecular structure data under the preset data structure, and can all be matched with the corresponding standard data parsing rules Then data analysis is performed, thereby ensuring the output of formatted data analysis results of molecular experimental data from different molecular experimental equipment, thereby achieving the purpose of standardized and unified analysis of molecular experimental data across devices, comparable results and efficient integration, rather than analyzing and processing a single type of molecular experimental data based on its own standardized process. Therefore, it overcomes the problem that due to the wide variety of instruments that generate molecular experimental data, different categories of molecular experimental equipment have significant differences in data storage formats and fluorescence detection channel settings, resulting in a lack of comparability of data analysis results across devices, and thus makes it easy for application personnel to have difficulty in identifying data analysis results and low identification efficiency. Therefore, the analysis effect of molecular experimental data is improved.

[0072] In one embodiment, Figure 3 As shown, the original molecular experimental data uploaded by the molecular experimental equipment is converted to obtain standard molecular structure data under the preset data structure, including:

[0073] Step 202, extracting data metadata and data experiment information from the original molecular experiment data;

[0074] It should be noted that the original molecular experiment data may include data metadata and data experiment information, wherein the data metadata represents the data describing the attributes of the data itself, which may be specifically the protocol version number, data type, device serial number, experiment ID, upload time and data format, etc. The data experiment information represents the data describing the experimental object, process and results, which may be specifically the test item alias, reagent details, reaction liquid parameters, channel data, well type, sample barcode and CT value / TM value, etc.; it can be understood that the original molecular experiment data is a complex containing data metadata and data experiment information. The data metadata is the identity identifier and parsing key of the original molecular experiment data. The lack of it will cause the data to be unable to be recognized by the system (such as the inability to match the protocol version and verify the device permissions, etc.). The data experiment information is the main value of the data, and the lack of it will lose the actual significance of the detection business.

[0075] As an example, step 202 includes: extracting data metadata from the original molecular experiment data, and extracting data experiment information from the original molecular experiment data.

[0076] Step 204 : When it is detected based on the data metadata that the original molecular experimental data meets the preset data conversion condition, a standard molecular structure data template under the preset data structure is searched according to the data experimental information.

[0077] It should be noted that the preset data conversion condition is a prerequisite for converting the original molecular experimental data into standard molecular structure data. For example, in one feasible method, the data meta-information includes the protocol version number, data type, device serial number, experiment ID and inspection project alias. The parsing class can be determined by the protocol version number, which can detect the legitimacy of the data transmission format of the original molecular data. The data type can be used to distinguish the data type, which can detect the compliance of the data content. The device serial number can be used to verify the device authority, which can detect the legitimacy of the molecular experimental equipment. The experiment review status can be verified by the experiment ID, which can detect the legitimacy of the data operation. The associated business information can be queried by the project alias, which can detect the correlation between the data and the business rules. When all of the above data meta-information passes the test, it is determined that the original molecular experimental data meets the preset data conversion condition.

[0078] It should be noted that the standard molecular structure data template represents a predefined structured data framework and stipulates a unified storage format and field specifications for molecular experimental data; it can be understood that the standard molecular structure data template can eliminate data format differences between different molecular experimental equipment, standardize the naming of data fields, and reserve extension fields, etc.

[0079] As an example, step 204 includes: when it is detected that all data metadata match the corresponding detection conditions, determining that the original molecular experimental data meets the preset data conversion conditions, and querying the standard molecular structure data template under the preset data structure using the data experimental information as an index.

[0080] Step 206 , obtaining standard molecular structure data by filling in data experimental information in the standard molecular structure data template.

[0081] It should be noted that the corresponding fields of the standard molecular structure data template are pre-configured with default experimental information. After querying the standard molecular structure data template, the data experimental information can be extracted from the original molecular experimental data and the default experimental information can be replaced to obtain the standard molecular structure data corresponding to the original molecular experimental data.

[0082] As an example, step 206 includes: mapping the data experimental information to corresponding fields of the standard molecular structure data template to obtain standard molecular structure data.

[0083] In one feasible method, the steps for converting raw molecular experimental data into standard molecular structure data can be as follows: 1) Determine the protocol version implementation class based on the reported protocol version number (protocolVersion); 2) Determine whether the reported data type (dataType) is experimental results or process data; 3) Obtain molecular experimental equipment details based on the equipment serial number and verify equipment permissions; 4) Query the experimental details based on the equipment experiment ID to verify whether the experiment has been reviewed. Reviewed molecular experimental data will not be allowed to be modified again; 5) Query the inspection item details through the inspection item alias, and the reagent details, reaction solution details, fluorescence channel details and interpretation rule details associated with the inspection item; 6) Obtain information such as the experiment file name, equipment SN, inspection item, and experiment time to generate an experimental file information and original JSON information, that is, generate standard molecular structure data.

[0084] In this embodiment, in the process of converting the original molecular experimental data, data metadata and data experimental information are first extracted from the original molecular experimental data, and then the data metadata is used to detect whether the original molecular experimental data meets the preset data conversion conditions. When it is detected based on the data metadata that the original molecular experimental data meets the preset data conversion conditions, the data experimental information is used to query the standard molecular structure data template under the preset data structure, and finally the standard molecular structure data is mapped. The differences in data formats of the original molecular experimental data uploaded by different molecular experimental devices can be eliminated by determining the preset data conversion conditions, and the original molecular experimental data can be converted from the device-specific format to the standard molecular structure data, thereby laying a unified foundation for data storage, analysis, and sharing. Therefore, it lays a foundation for improving the parsing effect of molecular experimental data.

[0085] In one embodiment, the data experimental information includes structured data experimental information and unstructured data experimental information; by filling the data experimental information in the standard molecular structure data template, the standard molecular structure data is obtained, including:

[0086] The first basic molecular structure data is obtained by filling the structured data experimental information in the standard molecular structure data template; the unstructured data experimental information is structured parsed to obtain the second basic molecular structure data; and the standard molecular structure data is generated based on the first basic molecular structure data and the second basic molecular structure data.

[0087] It should be noted that in some application scenarios, data experimental information is composed of a binary structure of fillable information and information to be parsed, that is, data experimental information includes structured data experimental information and unstructured data experimental information, among which structured data experimental information represents information that already has a clear field correspondence, which can be directly filled into the corresponding fields of the standard molecular structure data template, and may specifically include well type, sample barcode and reagent ID, etc. Unstructured data experimental information represents data experimental information that exists in an unstructured form, and may specifically include original signal data of original curves, amplification curves and melting curves; it can be understood that different types of data experimental information are processed in different ways and then filled into the standard molecular structure data template. For example, in one feasible method, the unstructured data experimental information is the curveData coordinate point in the original amplification curve, and the structured data experimental information is "ctValue=28.5".

[0088] As an example, the structured data experimental information is mapped to the corresponding field of the standard molecular structure data to obtain the first basic molecular structure data; the second basic molecular structure data is obtained by structured parsing of the unstructured data experimental information; and the standard molecular structure data is obtained by merging the first basic molecular structure data and the second molecular structure data.

[0089] In one feasible approach, the process for structured analysis of unstructured data experimental information can be as follows: 1) parse curve information such as the original curve, amplification curve, and melting peak curve to generate curve details corresponding to each target in each well; 2) update the device status, perform experimental analysis data, analyze the result data (positive and negative judgment), and perform a merge analysis operation to obtain standard molecular structure data.

[0090] In one practicable manner, referring to Figure 4 , Figure 4 The figure is a flowchart for converting raw molecular experimental data into standard molecular structure data, wherein, first, equipment authentication, audit verification and verification of inspection item interpretation rules are performed based on data metadata to determine whether the raw experimental molecular data meets the preset data conversion conditions. Then, structured data experimental information and unstructured data experimental information are extracted from the raw molecular experimental data, and structured analysis is performed on the unstructured data experimental information. Finally, the conversion of the raw molecular experimental data is completed by merging the first basic molecular structure data and the second basic molecular structure data.

[0091] In this embodiment, different basic molecular structure data are generated by filling in structured data experimental information and parsing unstructured data experimental information, and then standard molecular structure data are obtained by merging different basic molecular structure data, so that the original molecular experimental data are accurately converted and processed from two different dimensions, that is, the conversion capability of the original molecular experimental data is improved, thereby further laying the foundation for improving the parsing effect of the molecular experimental data.

[0092] In one embodiment, the standard molecular structure data includes first type standard molecular structure data; the standard molecular structure data is parsed according to standard data parsing rules to obtain data parsing results, including:

[0093] The standard data parsing rules are preprocessed to obtain target standard data parsing rules that match the parsing dimension of the first type of standard molecular structure data; the first type of standard molecular structure data is reorganized into standard molecular parsing data according to the target standard data parsing rules; and a data parsing result is generated based on the standard molecular parsing data.

[0094] It should be noted that when the reported experimental data meets the preset data analysis conditions, the test item test type (ordinary qualitative, joint interpretation and quantitative) and the test rule type (single channel, cross-channel and cross-reaction liquid) can be used to determine which rule is needed to analyze the experimental data. In the process of parsing different types of standard molecular structure data, different parsing methods will be used. Among them, the first type of standard molecular structure data representation only contains molecular structure information of a single channel. It can be understood that the first type of standard molecular structure data is relatively uniform in data structure, so it is easy to parse according to the same set of parsing processes. Specifically, it can be single-channel standard molecular structure data. For example, in an implementable method, the parsing process for single-channel standard molecular structure data is as follows: 1) First, extract the specific parsing dimensions applicable to single-channel standard molecular structure data from the general rules, thereby eliminating irrelevant rules and obtaining the target standard data parsing rules. Specifically, the single-channel standard molecular structure data is preprocessed to match different sample types, different channels in the sample, and different value types in each well. For example, after processing the rules, the data structure is Map<String,LiquidChannelRule> chanRuleMap format; the Map's KEY is "reaction solution ID-rule type-channel name-value type-channel type", and the Map's VALUE is the specific parsing rule corresponding to this KEY; rule type: 1-sample rule, 2-negative control, 3-positive control value type: CT-CT, TM-TM channel type: 1-internal standard, 2-target; for example: uploading a six-call experiment data, after pre-logic processing, the matching reaction solution ID is 1634, then the pre-processed rule KEY format is: "1634-2-FAM-CT-2"; 2) according to the dimension defined by the target parsing rule (such as the coordinate, intensity or time series of single channel data), columns, etc.), reorganize the single-channel standard molecular structure data into standard molecular analysis data. Specifically, loop the analysis details data of this experiment, and assemble the data of each channel of the sample in each well with a key value; the assembled key is in the form of: reaction liquid ID-well type-channel name-value type-channel type; well type (HOLE_TYPE): 1-sample rule, 2-negative control, 3-positive control; value type (VALUE_TYPE): CT-CT, TM-TM; channel type (VALUE_TYPE): 1-internal standard, 2-target; 3) Based on the reorganized standard molecular analysis data, generate readable analysis results through calculation, modeling or format conversion.

[0095] As an example, the standard data parsing rules are parsed into target standard data parsing rules that match the parsing dimensions of the first type of standard molecular structure data; the first type of standard molecular structure data is reorganized into standard molecular parsing data according to the target standard data parsing rules; and a data parsing result is generated based on the standard molecular parsing data.

[0096] In this embodiment, for the first type of standard molecular structure data, the target standard data parsing rules that match the parsing dimension of the first type of standard molecular structure data are first preprocessed, and then the intermediate data formed by reorganization according to the target standard data parsing rules are generated to generate data parsing results. The preprocessing steps can quickly filter out irrelevant rules, reduce invalid calculations, and make the parsing process of single-channel data more efficient. At the same time, for the characteristics of single-channel data, the parsing results can accurately reflect the molecular structure characteristics of the channel, providing a reliable basis for subsequent experiments or modeling, thereby further improving the parsing effect of molecular experimental data.

[0097] In one embodiment, the first type of standard molecular structure data is reorganized into standard molecular analysis data according to target standard data analysis rules, including one of the following:

[0098] According to the first identification information of the first type of standard molecular structure data, querying the target standard data parsing rule for a rule condition corresponding to the first type of standard molecular structure data, and reorganizing the first type of standard molecular structure data into standard molecular parsing data according to a matching relationship between the first type of standard molecular structure data and the rule condition;

[0099] The first type standard molecular structure data is divided into a plurality of first standard molecular structure sub-data, and the first type standard molecular structure data is reorganized into standard molecular parsing data according to a matching relationship between all the first standard molecular structure sub-data and a target standard data parsing rule.

[0100] It should be noted that the first identification information is used to uniquely identify the characteristic information of the single-channel standard molecular structure data, which can specifically be the data hole type identification information; the rule condition represents the matching condition specified in the target standard data parsing rule, which is used to screen and process specific types of data; the first standard molecular structure sub-data represents the sub-data set obtained by splitting the single-channel standard molecular structure data according to a specific dimension (such as time series, spatial coordinates); in the process of reorganizing the first type of standard molecular structure data, both rule matching and reorganization based on the identification information and matching and reorganization based on the sub-data division can be performed.

[0101] As an example, taking the first identification information of the first type of standard molecular structure data as an index, the rule conditions corresponding to the first type of standard molecular structure data are queried in the target standard data parsing rules; according to the rule conditions matched by the first type of standard molecular structure data, the first type of standard molecular structure data is reorganized into standard molecular parsing data; according to the preset division dimension, the first type of standard molecular structure data is divided into multiple first standard molecular structure sub-data; in the target standard data parsing rules, the corresponding parsing rules are matched for each standard molecular structure sub-data, and based on the parsing results of all the first standard molecular structure sub-data under the corresponding parsing rules, the standard molecular parsing data are integrated to obtain the standard molecular parsing data.

[0102] In one feasible method, the steps for recombining and obtaining standard molecular analysis data are as follows: 1) If it is a CT value, first determine whether the current data well type is a yin-yang quality control or a sample; if the well type is a yin-yang quality control, use KEY to retrieve the rule, pass the current value result into the yin-yang quality control interpretation rule, and determine whether the current yin-yang control sample is normal or abnormal; if the well type is a sample, use KEY to retrieve the sample internal standard and target rules, pass the current value result into the internal standard and target interpretation rules, and determine whether the internal standard of the current sample is normal or abnormal, and whether the target is negative, positive, or weakly positive; 2) If it is a TM value, since there are multiple TM values ​​separated by commas, first use the comma to truncate the TM value, turn it into an array, and then loop the array; loop each value in the TM array, according to the matching logic of the CT value in the previous step, see if there is a value that matches the rule. If there is a match, take the satisfied value; if there is no matching value, the analysis detail data will store the last value of the TM array.

[0103] In this embodiment, during the reorganization of the first type of standard molecular structure data, the reorganization can be based on both rule matching of identification information and matching reorganization based on sub-data division, so that the single-channel data generated by the molecular experimental equipment can be efficiently and accurately parsed into standardized information, providing a solid data foundation for life science research and clinical applications, and thus laying the foundation for further improving the parsing effect of molecular experimental data.

[0104] In one embodiment, the standard molecular structure data includes second type standard molecular structure data; the standard molecular structure data is parsed according to standard data parsing rules to obtain data parsing results, including:

[0105] According to the second identification information of the second type of standard molecular structure data, a plurality of groups of second standard molecular structure sub-data are obtained from the second type of standard molecular structure data; the reagent association information of all the second standard molecular structure sub-data is determined; when it is determined based on the reagent association information that each second standard molecular structure sub-data satisfies a preset reorganization condition, all the second standard molecular structure sub-data are respectively reorganized into standard molecular analysis sub-data according to the matching relationship between each second standard molecular structure sub-data and the standard data analysis rule; standard molecular analysis data of the second type of standard molecular structure data is obtained by integrating all the standard molecular analysis sub-data, and a data analysis result is generated based on the standard molecular analysis data.

[0106] It should be noted that the second type of standard molecular structure data is relative to the first type of standard molecular structure, and represents molecular structure information containing at least two channels, which can be specifically multi-channel standard molecular structure data or cross-reaction liquid standard molecular structure data; the second identification information is used to identify the metadata of the multi-channel data characteristics, which can be specifically the sample barcode or experimental serial number, etc.; the second standard molecular structure sub-dataset represents the single-channel sub-data set split from the second type of standard molecular structure data according to the second identification information; the reagent association information represents the information describing the correspondence between the sub-data and the experimental reagent, which can be specifically all reagents or reaction liquid information of the current test item, etc.; the preset recombination condition represents the rules for determining whether the sub-data can be effectively recombined, which can be specifically reagent integrity, signal strength threshold or data integrity, etc. For example, in one feasible method, the preset recombination condition is whether the reaction liquid reported by the sample is complete, and if the reaction liquid is complete, the analysis result data can be written into the analysis result table.

[0107] As an example, using the second identification information of the second type of standard molecular structure data as an index, multiple groups of second standard molecular structure sub-data are divided in the second type of molecular structure data; reagent association information is extracted based on all second standard molecular structure sub-data; when it is determined based on the reagent association information that each second standard molecular structure sub-data meets the preset reorganization conditions, all second standard molecular structure sub-data are reorganized into standard molecular analysis sub-data based on the analysis results of each second standard molecular structure sub-data under the corresponding analysis rules; all standard molecular analysis sub-data are merged into standard molecular analysis data of the second type of standard molecular structure data, and data analysis results are generated based on the standard molecular analysis data.

[0108] In one feasible manner, assuming that the second type of standard molecular structure data is cross-channel standard molecular structure data, the parsing process of the cross-channel standard molecular structure data is as follows: 1) pre-processing the cross-channel standard molecular structure data, grouping the cross-channel standard molecular structure data according to the sample barcode or experimental serial number, grouping the data with the same barcode or experimental serial number into one group, and obtaining multiple groups of second standard molecular structure sub-data; 2) after the second standard molecular structure sub-data are grouped, query all reagents and reaction liquid information of the current test item, and then loop according to the sample barcode, first query and compare whether the reaction liquid reported by the sample is complete, if the reaction liquid is complete, the analysis result data can be written into the analysis result table; if the reaction liquid is incomplete, then Check from the original result table whether there is data of the same project that has not been written into the analysis result table before. If so, merge and verify whether the reaction solution is complete again. If it is complete, insert it into the analysis result table. If it is incomplete, do not insert it first and wait for the next experiment report to trigger the merge logic until the reaction solution is reported to be complete, and then write the data into the analysis result table; 3) After the data is inserted into the analysis result table, loop according to the rules, traverse each experimental analysis result data, first group it by one well and one sample, and then pass the rules and the experimental analysis result data of the reaction solution that matches this rule into the interpretation rule engine. According to the rules, combine the relevant channels for interpretation and finally get the well result; 4) After getting the result, all the experimental analysis results containing this sample are combined. The analysis result data are grouped by wells, the well table information is constructed and the joint interpretation results are written into the well table; assuming that the second type of standard molecular structure data is cross-reaction liquid standard molecular structure data, the parsing process of the cross-reaction liquid standard molecular structure data is as follows: 1) Preprocess the cross-reaction liquid standard molecular structure data, group the cross-reaction liquid standard molecular structure data according to the sample barcode or experimental serial number, and group the data with the same barcode or experimental serial number into one group to obtain multiple groups of second standard molecular structure sub-data; 2) After the second standard molecular structure sub-data are grouped, query all reagents and reaction liquid information of the current test item, and then loop by sample barcode, first query and compare whether the reaction liquid reported by the sample is complete. If the reaction liquid is complete, the analysis can be completed. The result data is written into the analysis result table. If the reaction solution is incomplete, the original result table is checked to see if there is any data of the same item that has not been written into the analysis result table. If so, the reaction solution is merged and then verified to be complete. If it is complete, it is inserted into the analysis result table. If it is incomplete, it is not inserted first and waits for the next experimental report to trigger the merging logic. When the reaction solution is reported to be complete, the data is written into the analysis result table. 3) After the data is inserted into the analysis result table, it is looped according to the rules, traversing each experimental analysis result data, first grouping by one well and one sample, and then passing the rules and the experimental analysis result data of the reaction solution that matches the rule into the interpretation rule engine. According to the rules, the relevant channels are combined for interpretation, and the well result is finally obtained.4) After obtaining the results, all experimental analysis results data for this sample are grouped by well, well table information is constructed, and the joint interpretation results are written into the well table.

[0109] In this embodiment, the second type of standard molecular structure data is first divided to obtain multiple groups of second standard molecular structure sub-data, and then, based on the reagent association information, it is determined that all the second standard molecular structure sub-data meet the preset recombination conditions, and the recombination of all the second standard molecular structure sub-data is completed to obtain standard molecular analysis sub-data. Finally, all the standard molecular analysis sub-data are integrated to obtain standard molecular analysis data, and corresponding data analysis results are generated. In this way, the multi-channel molecular structure data can be systematically split into resolvable sub-units, and precise recombination and integration can be achieved in combination with the reagent association information, which provides an efficient solution for the automated analysis of complex molecular experiments. Therefore, the analysis effect of the molecular experiment data is further improved.

[0110] In one embodiment, when it is detected that the standard molecular structure data satisfies a preset data parsing condition, before searching for a standard data parsing rule corresponding to the standard molecular structure data from a plurality of candidate data parsing rules, the method further includes:

[0111] Acquire multiple analytical association information of standard molecular structure data; when it is detected that all analytical association information is complete, construct a mapping relationship between all analytical association information and experimental analysis result data; when it is detected based on the mapping relationship that all analytical association information and experimental analysis result data have passed the validity verification, determine that the standard molecular structure data meets the preset data analysis conditions.

[0112] It should be noted that the analytical association information represents the key meta-information of the analytical standard molecular structure data, which may specifically include test items, reagents, reaction solutions, fluorescence channels, general qualitative interpretation rules and joint interpretation rule information; the experimental analysis result data represents the intermediate results obtained after preliminary analysis of the standard molecular structure data, such as the CT value of PCR, the base quality score of sequencing and the binding energy of molecular docking.

[0113] As an example, using standard molecular structure data as an index, multiple parsing association information of multiple standard molecular structure data is queried; when all parsing association information is detected to be complete, a mapping relationship is established between all parsing association information and experimental analysis result data; when it is detected based on the mapping relationship that all parsing association information and experimental analysis result data have passed the validity verification, it is determined that the standard molecular structure data meets the preset data parsing conditions. In this way, through this pre-verification process, the parsing process of molecular structure data is upgraded from a passive processing process to an active verification process, significantly improving the reliability and efficiency of the analysis process for molecular experimental data.

[0114] In one feasible method, determining whether the standard molecular structure data meets the preset data analysis conditions can be specifically as follows: 1) obtaining analysis-related information such as test items, reagents, reaction solutions, fluorescence channels, general qualitative interpretation rules, and joint interpretation rule information; 2) obtaining the experimental result definition and quality control result definition list in the dictionary table and constructing a Map; 3) performing validity verification on the experimental analysis result data, including: whether it is empty, whether it has been reviewed, whether the reagent reaction solution and interpretation rule are empty; 4) constructing the analysis result data and processing the wells with empty sample barcodes; 5) batch matching sample barcode logic, where if the device sample identifier is a sample barcode: then the generated experimental analysis data sample barcode is equal to the unique identifier; the experimental serial number is equal to Auto_sample barcode; first create a sample in the sample management: the sample barcode is equal to the unique identifier, The experimental serial number is equal to Auto_sample barcode; when the data is reported, the sample barcode can be automatically merged with multiple reaction solutions with the same unique identifier reported. If the device sample identifier is the experimental serial number: the generated experimental analysis data sample barcode is empty, and the experimental serial number is equal to the unique identifier; first create a sample in the sample management: the sample barcode is automatically generated, and the experimental serial number is equal to the unique identifier; when the data is reported, the experimental serial number can be automatically merged with multiple reaction solutions with the same unique identifier reported; 6) The experimental analysis result data automatically matches the sample logic, among which, if the sample barcode is reported: the sample barcode is equal to the unique identifier; the experimental serial number is equal to Auto_sample barcode, the sample barcode matches, and the sample experimental serial number can be one, then if it matches, the sample experimental serial number is written back to the molecular experiment data Experimental serial number, if the experimental serial number is reported: the experimental serial number matches, the sample ID and sample barcode cover the molecular experimental data, and the sample barcode and experimental serial number are reported: only when both attributes are accurately matched, it is considered a match, 31B processing, matching logic: if the sample barcode and experimental serial number both exist, then the sample barcode and experimental serial number are accurately matched; 7) query the system for target information, and batch match the target information in the experimental channel according to the standard data parsing rules; 8) automatically interpret the experimental data based on the parsed related information such as test items, reagents, reaction solutions, fluorescence channels, and interpretation rules; 9) for samples with multiple reaction solutions, perform merge analysis according to the standard data parsing rules; 10) after the merge analysis is completed, add the well table data and the experimental analysis result data.

[0115] In one practicable manner, referring to Figure 5 , Figure 5The figure is a schematic diagram showing data verification of standard molecular structure data, in which all analytical association information is first obtained, and then the file data, analysis result data, batch matching samples, batch matching targets are analyzed, and the experimental results are interpreted and merged for analysis. Finally, the experimental analysis result data is processed, and then the analytical association information and experimental analysis result data are verified for validity to determine whether the standard molecular structure data meets the preset data analysis conditions. In addition, if the carrier number is included, the carrier information is updated, and the quality control data is updated based on the quality control information in the data. If the institution needs to send the interpretation results to the LIS system, the latest interpretation results are sent to the corresponding LIS system. After the data verification is completed, that is, it is detected based on the mapping relationship that all analytical association information and all experimental analysis data have passed the validity verification, the subsequent data analysis process is carried out.

[0116] In one embodiment, before converting the original molecular experiment data uploaded by the molecular experiment device to obtain standard molecular structure data under a preset data structure, the method further includes:

[0117] Obtain device attribute information of molecular experimental equipment and reagent characteristic information of experimental reagents used to perform molecular reactions in the molecular experimental equipment; configure multiple candidate data parsing rules based on the association between the device attribute information and the reagent characteristic information; and store the device attribute information, reagent characteristic information, and all candidate data parsing rules in a structured manner.

[0118] It should be noted that before analyzing molecular experimental data, it is also necessary to complete the configuration of the equipment attribute information of the molecular experimental equipment and the reagent characteristic information of the experimental reagents that perform molecular reactions, so as to configure multiple candidate data analysis rules for subsequent matching; specifically, in terms of instrument configuration, it is necessary to initialize the relevant key attributes of the instrument equipment. The equipment attribute information may include the instrument's affiliated organization, equipment type, equipment name, equipment model, equipment SN and brand model, etc. Among them, the equipment model and equipment SN are required attributes, and when the subsequent instrument data is automatically reported, they need to be automatically associated and matched. The legitimacy of the reported data; in terms of reagent configuration, it is necessary to configure the standardized reagents and reaction liquid relationships. The reagent characteristic information may include the reagent code, reagent alias, and the reaction liquid information contained in the reagent. More specifically, it may include the instrument fluorescence channels supported by each tube of reaction liquid. For example, if it is a standard four-channel, there are FAM, HEX / VIC, ROX, CY5, specific value types, such as CT value, TM value, and the channel type corresponding to each specific fluorescence channel. If it is an internal standard or a target, at the same time, if it is a target, the target name of each fluorescence channel needs to be configured. Refer to Figure 6 , Figure 6 This is a schematic diagram of the configuration of reagent characteristic information.

[0119] As an example, the device attribute information of the molecular experimental equipment and the reagent characteristic information of the experimental reagents used to perform molecular reactions in the molecular experimental equipment are obtained; based on the association between the device attribute information and the reagent characteristic information, multiple candidate data parsing rules are constructed; the device attribute information, reagent characteristic information and all candidate data parsing rules are structured and stored.

[0120] In this embodiment, by pre-configuring the device attribute information of the molecular experimental equipment and the reagent characteristic information of the experimental reagents used to perform molecular reactions in the molecular experimental equipment, a plurality of standardized candidate data parsing rules can be obtained based on the device attribute and reagent characteristic configuration. Thus, by pre-collecting the device and reagent information, the adaptive parsing rules can be configured in advance to avoid temporary matching of rules during the conversion of raw data and reduce processing delays. At the same time, the structured storage of equipment, reagents and rule information can be used to trace the entire process of data processing, thus further laying the foundation for improving the parsing effect of molecular experimental data.

[0121] In one practicable manner, referring to Figure 7 , Figure 7 This is a schematic diagram of the parsing process for parsing molecular experimental data. Specifically, the parsing process includes two main processes. The first main process is used to establish a mapping relationship between device attributes and reagent characteristics through device configuration and reagent configuration, thereby configuring multiple candidate data parsing rules. The second main process is used to perform the detection of preset data parsing conditions, the matching of standard data parsing rules, and the parsing of experimental data based on the original molecular experimental data uploaded by the molecular experimental equipment.

[0122] Since the original molecular experimental data uploaded by all molecular experimental devices can be converted into standard molecular structure data under the preset data structure, and can be matched with the corresponding standard data parsing rules for data parsing, the output of formatted data parsing results of molecular experimental data from different molecular experimental devices can be guaranteed, thereby achieving the purpose of standardized and unified parsing of molecular experimental data across devices, comparable results and efficient integration, rather than parsing and processing a single type of molecular experimental data based on its own standardized process. Therefore, it overcomes the technical defects of lack of comparability of data analysis results across devices due to the wide variety of instruments that generate molecular experimental data, and significant differences in data storage formats and fluorescence detection channel settings among different categories of molecular experimental devices, which makes it easy for application personnel to have difficulty in identifying data analysis results and low recognition efficiency. Therefore, the parsing effect of molecular experimental data is improved.

[0123] It should be understood that, although the steps in the flowcharts of the above embodiments are shown in sequence as indicated by the arrows, these steps are not necessarily performed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and these steps can be performed in other orders. Moreover, at least a portion of the steps in the flowcharts of the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily performed at the same time, but can be performed at different times. The execution order of these steps or stages is not necessarily to be performed in sequence, but can be performed in turn or alternately with other steps or at least a portion of steps or stages in other steps.

[0124] Based on the same inventive concept, the present application also provides a molecular experiment data analysis device for implementing the molecular experiment data analysis method mentioned above. The solution provided by this device is similar to the solution described in the above method. Therefore, the specific limitations of one or more test molecular experiment data analysis device embodiments provided below can be found in the above-mentioned limitations of the molecular experiment data analysis method, and will not be repeated here.

[0125] In an exemplary embodiment, Figure 8 As shown, a molecular experiment data analysis device is provided, including: a conversion module 301, a query module 302 and a parsing module 303, wherein:

[0126] The conversion module 301 is used to convert the original molecular experimental data uploaded by the molecular experimental equipment to obtain standard molecular structure data under a preset data structure;

[0127] A query module 302 is configured to query a standard data parsing rule corresponding to the standard molecular structure data from a plurality of candidate data parsing rules when it is detected that the standard molecular structure data satisfies a preset data parsing condition, wherein any candidate data parsing rule is configured based on a mapping relationship between reagent characteristics and device attributes;

[0128] The parsing module 303 is used to parse the standard molecular structure data according to standard data parsing rules to obtain data parsing results.

[0129] In one embodiment, the conversion module 301 is further configured to:

[0130] Extract data metadata and data experiment information from the original molecular experimental data; when it is detected based on the data metadata that the original molecular experimental data meets the preset data conversion conditions, query the standard molecular structure data template under the preset data structure according to the data experiment information; obtain the standard molecular structure data by filling the data experiment information in the standard molecular structure data template.

[0131] In one embodiment, the data experiment information includes structured data experiment information and unstructured data experiment information; the conversion module 301 is further configured to:

[0132] The first basic molecular structure data is obtained by filling the structured data experimental information in the standard molecular structure data template; the unstructured data experimental information is structured parsed to obtain the second basic molecular structure data; and the standard molecular structure data is generated based on the first basic molecular structure data and the second basic molecular structure data.

[0133] In one embodiment, the standard molecular structure data includes first type standard molecular structure data; the parsing module 803 is further configured to:

[0134] The standard data parsing rules are preprocessed to obtain target standard data parsing rules that match the parsing dimension of the first type of standard molecular structure data; the first type of standard molecular structure data is reorganized into standard molecular parsing data according to the target standard data parsing rules; and a data parsing result is generated based on the standard molecular parsing data.

[0135] In one embodiment, the parsing module 303 is further configured to:

[0136] According to the first identification information of the first type of standard molecular structure data, the rule conditions corresponding to the first type of standard molecular structure data are queried from the target standard data parsing rules, and according to the matching relationship between the first type of standard molecular structure data and the rule conditions, the first type of standard molecular structure data is reorganized into standard molecular parsing data; the first type of standard molecular structure data is divided into multiple first standard molecular structure sub-data, and according to the matching relationship between all the first standard molecular structure sub-data and the target standard data parsing rules, the first type of standard molecular structure data is reorganized into standard molecular parsing data.

[0137] In one embodiment, the standard molecular structure data includes second type standard molecular structure data; the parsing module 303 is further configured to:

[0138] According to the second identification information of the second type of standard molecular structure data, a plurality of groups of second standard molecular structure sub-data are obtained from the second type of standard molecular structure data; the reagent association information of all the second standard molecular structure sub-data is determined; when it is determined based on the reagent association information that each second standard molecular structure sub-data satisfies a preset reorganization condition, all the second standard molecular structure sub-data are respectively reorganized into standard molecular analysis sub-data according to the matching relationship between each second standard molecular structure sub-data and the standard data analysis rule; standard molecular analysis data of the second type of standard molecular structure data is obtained by integrating all the standard molecular analysis sub-data, and a data analysis result is generated based on the standard molecular analysis data.

[0139] In one embodiment, the molecular experiment data analysis device is further used to:

[0140] Acquire multiple analytical association information of standard molecular structure data; when it is detected that all analytical association information is complete, construct a mapping relationship between all analytical association information and experimental analysis result data; when it is detected based on the mapping relationship that all analytical association information and experimental analysis result data have passed the validity verification, determine that the standard molecular structure data meets the preset data analysis conditions.

[0141] In one embodiment, the molecular experiment data analysis device is further used to:

[0142] Obtain device attribute information of molecular experimental equipment and reagent characteristic information of experimental reagents used to perform molecular reactions in the molecular experimental equipment; configure multiple candidate data parsing rules based on the association between the device attribute information and the reagent characteristic information; and store the device attribute information, reagent characteristic information, and all candidate data parsing rules in a structured manner.

[0143] Each module in the molecular experiment data analysis device described above can be implemented in whole or in part through software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in hardware form, or can be stored in a computer device memory in software form, so that the processor can call and execute the corresponding operations of each module.

[0144] In an exemplary embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as shown in FIG. Figure 9As shown. The computer device includes a processor, a memory, an input / output interface, a communication interface, a display unit and an input device. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface, the display unit and the input device are connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, it realizes a molecular experiment data analysis method. Those skilled in the art can understand that Figure 9 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0145] In one embodiment, a computer device is further provided, including a memory and a processor. The memory stores a computer program, and the processor implements the steps in the above method embodiments when executing the computer program.

[0146] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0147] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0148] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the above-mentioned embodiments. In particular, any reference to memory, database, or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM can take various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The databases involved in the various embodiments provided herein may include at least one of a relational database and a non-relational database. Non-relational databases may include, but are not limited to, distributed databases based on blockchains. The processors involved in the various embodiments provided herein may be, but are not limited to, general-purpose processors, central processing units (CPUs), graphics processing units (GPUs), digital signal processors (DSPs), programmable logic devices (PLDs), data processing logic devices based on quantum computing, and the like.

[0149] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0150] The above embodiments merely illustrate several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art may make various modifications and improvements without departing from the spirit of the present invention, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present application shall be determined by the appended claims.

Claims

1. A molecular experiment data analysis method, characterized in that: The method comprises: Convert the original molecular experimental data uploaded by the molecular experimental equipment to obtain standard molecular structure data under the preset data structure; When it is detected that the standard molecular structure data satisfies a preset data parsing condition, querying a standard data parsing rule corresponding to the standard molecular structure data from a plurality of candidate data parsing rules, wherein any of the candidate data parsing rules is configured based on a mapping relationship between reagent characteristics and device attributes; The standard molecular structure data is parsed according to the standard data parsing rules to obtain a data parsing result.

2. The method according to claim 1, characterized in that The conversion of the original molecular experimental data uploaded by the molecular experimental equipment to obtain standard molecular structure data under a preset data structure includes: Extracting data metadata and data experiment information from the original molecular experiment data; In the case where it is detected based on the data meta-information that the original molecular experimental data meets the preset data conversion condition, querying the standard molecular structure data template under the preset data structure according to the data experimental information; The standard molecular structure data is obtained by filling the data experimental information in the standard molecular structure data template.

3. The method according to claim 2, characterized in that The data experimental information includes structured data experimental information and unstructured data experimental information; the standard molecular structure data is obtained by filling the data experimental information in the standard molecular structure data template, including: Obtaining first basic molecular structure data by filling the structured data experimental information in the standard molecular structure data template; Performing structured analysis on the unstructured data experimental information to obtain second basic molecular structure data; The standard molecular structure data is generated according to the first basic molecular structure data and the second basic molecular structure data.

4. The method according to claim 1, wherein The standard molecular structure data includes first type standard molecular structure data; parsing the standard molecular structure data according to the standard data parsing rules to obtain a data parsing result includes: Preprocessing the standard data parsing rules to obtain target standard data parsing rules that match the parsing dimension of the first type of standard molecular structure data; Reorganizing the first type of standard molecular structure data into standard molecular analysis data according to the target standard data analysis rule; The data analysis result is generated according to the standard molecular analysis data.

5. The method according to claim 4, characterized in that The step of reorganizing the first type of standard molecular structure data into standard molecular analysis data according to the target standard data analysis rule includes one of the following: According to the first identification information of the first type of standard molecular structure data, querying the target standard data parsing rule for a rule condition corresponding to the first type of standard molecular structure data, and reorganizing the first type of standard molecular structure data into the standard molecular parsing data according to a matching relationship between the first type of standard molecular structure data and the rule condition; The first type of standard molecular structure data is divided into a plurality of first standard molecular structure sub-data, and the first type of standard molecular structure data is reorganized into the standard molecular analysis data according to a matching relationship between all the first standard molecular structure sub-data and the target standard data analysis rule.

6. The method according to claim 1, characterized in that The standard molecular structure data includes second type standard molecular structure data; and the standard molecular structure data is parsed according to the standard data parsing rule to obtain a data parsing result, including: According to the second identification information of the second type standard molecular structure data, dividing the second type standard molecular structure data to obtain a plurality of groups of second standard molecular structure sub-data; Determining reagent association information for all second standard molecular structure sub-data; When it is determined based on the reagent association information that each second standard molecular structure sub-data satisfies a preset recombination condition, recombining all the second standard molecular structure sub-data into standard molecular analysis sub-data according to a matching relationship between each second standard molecular structure sub-data and the standard data analysis rule; By integrating all standard molecular analysis sub-data, standard molecular analysis data of the second type of standard molecular structure data is obtained, and the data analysis result is generated based on the standard molecular analysis data.

7. The method according to claim 1, characterized in that Before searching for a standard data parsing rule corresponding to the standard molecular structure data from a plurality of candidate data parsing rules when it is detected that the standard molecular structure data satisfies a preset data parsing condition, the method further includes: Acquiring multiple analytical correlation information of the standard molecular structure data; When it is detected that all analytical association information is complete, a mapping relationship between all analytical association information and experimental analysis result data is constructed; When it is detected based on the mapping relationship that all parsing association information and the experimental analysis result data pass the validity verification, it is determined that the standard molecular structure data meets the preset data parsing conditions.

8. The method according to claim 1, characterized in that Before converting the original molecular experiment data uploaded by the molecular experiment device to obtain standard molecular structure data under a preset data structure, the method further includes: Acquiring device attribute information of the molecular experiment device and reagent characteristic information of an experimental reagent used to perform a molecular reaction in the molecular experiment device; configuring a plurality of candidate data parsing rules according to the association between the device attribute information and the reagent characteristic information; The device attribute information, reagent characteristic information and all candidate data parsing rules are stored in a structured manner.

9. A molecular experiment data analysis device, characterized in that: The device comprises: The conversion module is used to convert the original molecular experimental data uploaded by the molecular experimental equipment to obtain the standard molecular structure data under the preset data structure; a query module, configured to query a standard data parsing rule corresponding to the standard molecular structure data from a plurality of candidate data parsing rules when it is detected that the standard molecular structure data satisfies a preset data parsing condition, wherein any of the candidate data parsing rules is configured based on a mapping relationship between reagent characteristics and device attributes; The parsing module is used to parse the standard molecular structure data according to the standard data parsing rules to obtain data parsing results.

10. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 8 are implemented.

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