Management operation system based on sample library

Abstract

The invention belongs to the technical field of sample library management, and particularly relates to a sample library management-based operation system which comprises a management layer unit, a sample data processing unit, a retrieval unit, a safety protection unit, an interface unit and a data sharing unit. Meanwhile, data security and privacy protection are guaranteed, data sharing and cooperative work between different teams and organizations are promoted, knowledge discovery and innovation are accelerated, data standardization and consistency are guaranteed at the same time, in many fields, sample data come from different devices, laboratories, organizations or systems, data formats and standards may be different, and the data format and the data standard may be different. And the standardized sample library management system can unify the data format, the data structure and the storage mode, so that the consistency and compatibility of the data are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of sample library management, and specifically provides an operating system based on sample library management. Background Art

[0002] Currently, with the rapid development of the precision medicine strategy, the bio-bank industry, which is the cornerstone of its development, has also entered a golden development period. A bio-bank, also known as a biobank or sample resource bank, is an integrated management system for the standardized collection, processing, storage, and application of biological samples, including biological macromolecules, cells, body fluids, tissues, and organs.

[0003] Bio-banks play an irreplaceable and important role in carrying out research on human disease prediction, diagnosis, and treatment. Biological samples and their related clinical, pathological, diagnosis and treatment, follow-up, etc. data are of great significance for the diagnosis and treatment research of diseases such as epidemiology, malignant tumors, and chronic diseases, and become extremely important in clarifying the pathogenesis, developing disease diagnostic markers, and exploring new drug targets.

[0004] In the process of establishing a traditional bio-bank, it includes steps such as tracking the collection, receipt, processing, warehousing registration, out-of-warehouse use, and destruction of each sample, covering the entire process of the operation, storage, and management of the bio-bank, forming an integrated database. In the big data era, scientific research workers are more concerned about the correlation between the biological information data and clinical information of samples, and thus through correlation analysis, carry out precision medicine research to achieve disease prediction, development, and prognosis analysis. The completeness and quality of biological samples are also the cornerstone of scientific research results and better experimental research. At present, most bio-banks on the market rely on the collection of a single medical institution, and the bio-bank has not yet achieved sharing and integration, lacking more detailed and refined management, and unable to ensure the standardization and consistency of data. Summary of the Invention

[0005] The purpose of this part is to outline some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this part, as well as in the abstract and title of the present application, to avoid obscuring the purpose of this part, the abstract, and the title, but such simplifications or omissions shall not be used to limit the scope of the present invention.

[0006] Therefore, the purpose of the present invention is to provide an operating system based on sample library management, which can efficiently and intelligently manage a large amount of sample data by integrating modern systems, while ensuring data security and privacy protection, and promoting data sharing and collaborative work between different teams and organizations, accelerating knowledge discovery and innovation.

[0007] To solve the above technical problems, according to one aspect of the present invention, the following technical solutions are provided:

[0008] A sample library-based management operating system, comprising:

[0009] A management unit, used to perform operations responsible for the storage, maintenance, and retrieval of sample data, including the application of data storage media, file systems, and database technologies;

[0010] A sample data processing unit, used to perform preprocessing, cleaning, conversion, analysis, and modeling operations on the data stored in the sample library;

[0011] A retrieval unit, used to provide an efficient query interface and support retrieval based on conditions or keywords;

[0012] A security protection unit, used to provide control over user permissions, data encryption, and audit log functions;

[0013] An interface unit, used to provide a standardized API interface to enable external systems or users to conveniently access and operate on the data in the sample library;

[0014] A data sharing unit, used to support collaborative work and data sharing among multiple users, across departments, or across institutions.

[0015] As a preferred solution of the sample library-based management operating system described in the present invention, wherein: the management unit includes a data storage module and a data format module;

[0016] A data storage module, used to store data based on a relational database or a non-relational database and use a big data storage solution;

[0017] A data format module, used to manage and convert formats using a unified standard or protocol when there are different formats, such as images, texts, and videos, during sample data storage.

[0018] As a preferred solution of the sample library-based management operating system described in the present invention, wherein: the sample data processing unit includes a data preprocessing module, a data conversion module, and an analysis and modeling module:

[0019] A data preprocessing module, used to remove noise from the data, fill in null values, and detect outliers;

[0020] A data conversion module, used to convert sample data from different sources and formats into a unified format or structure for subsequent analysis;

[0021] An analysis and modeling module, used to perform modeling, classification, clustering, and predictive analysis on sample data through machine learning, data mining, and statistical methods.

[0022] As a preferred solution of the sample library management operating system described in the present invention, wherein: the retrieval unit includes an efficient retrieval engine and a query optimization module;

[0023] The efficient retrieval engine is used to execute data retrieval processes accelerated by full-text retrieval, inverted index, or vector database technology;

[0024] The query optimization module is used to execute techniques including caching policies, index construction, and query execution plans to optimize query efficiency.

[0025] As a preferred solution of the sample library management operating system described in the present invention, wherein: the security protection unit includes a user permission management module, a data encryption module, and an audit and monitoring module;

[0026] The user permission management module is used to execute permission allocation according to different roles such as administrators, researchers, and ordinary users to ensure that different users can only access the data they have permissions to;

[0027] The encryption module is used to execute to ensure the security of data during storage and transmission and prevent data leakage;

[0028] The monitoring module is used to execute recording the access logs of users to sample data for security auditing and monitoring.

[0029] As a preferred solution of the sample library management operating system described in the present invention, wherein: the interface unit includes a RESTful API module and an SDK support module;

[0030] The RESTful API module is used to execute providing an interface based on the HTTP protocol to support operations such as adding, deleting, modifying, and querying data;

[0031] The SDK support module is used to execute providing convenient data access tools for developers to simplify the operation of the sample library.

[0032] As a preferred solution of the sample library management operating system described in the present invention, wherein: the data sharing unit includes a sharing mechanism module and a version control module;

[0033] The sharing mechanism module is used to execute enabling the sample library to support data sharing and collaboration between different users or different systems;

[0034] The version control module is used to execute version management of sample data to track the change history of the data.

[0035] As a preferred solution of the sample library management operating system described in the present invention, wherein: the sample data processing unit further includes a hierarchical storage module and a data compression module;

[0036] A hierarchical storage module for storing data on different storage media according to the importance and access frequency of the data, such as hot data storage and cold data storage;

[0037] A data compression module for compressing sample data, removing redundant data, and reducing storage costs.

[0038] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0039] 1. By integrating modern systems, it can efficiently and intelligently manage a large amount of sample data, while ensuring data security and privacy protection, and promoting data sharing and collaborative work between different teams and organizations, accelerating knowledge discovery and innovation;

[0040] 2. Ensure data standardization and consistency. In many fields, sample data comes from different devices, laboratories, organizations or systems, and the data formats and standards may be different, resulting in poor data interoperability. A standardized sample library management system can unify data formats, data structures and storage methods, thereby improving data consistency and compatibility. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the present invention will be described in detail below with reference to the drawings and detailed embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts. Among them:

[0042] Figure 1 It is a schematic diagram of the overall system structure of the present invention;

[0043] Figure 2 For the present invention Figure 1 Partial structure block diagram. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0044] In order to make the above objects, features and advantages of the present invention more obvious and understandable, the following detailed description of the specific embodiments of the present invention will be made with reference to the drawings.

[0045] Many specific details are set forth in the following description in order to provide a thorough understanding of the present invention. However, the present invention may be implemented in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0046] Secondly, the present invention will be described in detail with reference to the schematic diagrams. When describing the embodiments of the present invention in detail, for the convenience of explanation, the cross-sectional views showing the device structure will be enlarged locally not in accordance with the general scale, and the schematic diagrams are only examples and should not limit the scope of protection of the present invention herein. In addition, in actual production, three-dimensional spatial dimensions including length, width, and depth should be included.

[0047] To make the objectives, technical solutions, and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.

[0048] The present invention provides a sample library management operating system that can efficiently and intelligently manage a large amount of sample data by integrating modern systems, while ensuring data security and privacy protection, promoting data sharing and collaborative work between different teams and organizations, accelerating knowledge discovery and innovation, and ensuring data standardization and consistency. In many fields, sample data comes from different devices, laboratories, organizations, or systems, and the data formats and standards may be different, resulting in poor data interoperability. A standardized sample library management system can unify data formats, data structures, and storage methods, thereby improving data consistency and compatibility. Please refer to Figure 1-2 , including:

[0049] The management layer unit is used to perform storage, maintenance, and retrieval of sample data, including the application of data storage media, file systems, and database technologies;

[0050] The sample data processing unit is used to perform preprocessing, cleaning, transformation, analysis, and modeling operations on the data stored in the sample library;

[0051] The retrieval unit is used to provide an efficient query interface and support retrieval based on conditions or keywords;

[0052] The security protection unit is used to provide control of user permissions, data encryption, and audit log functions;

[0053] The interface unit is used to provide a standardized API interface to enable external systems or users to conveniently access and operate the data in the sample library;

[0054] The data sharing unit is used to support collaborative work and data sharing among multiple users, across departments, or across institutions.

[0055] The management layer unit includes a data storage module and a data format module;

[0056] The data storage module is used to store data based on a relational database or a non-relational database and use a big data storage solution;

[0057] The data format module is used to execute the management and conversion of formats according to a unified standard or protocol when there are different formats during the storage of sample data, such as images, texts, and videos.

[0058] The sample data processing unit includes a data preprocessing module, a data conversion module, and an analysis and modeling module:

[0059] The data preprocessing module is used to execute noise removal, null value filling, and outlier detection in the data;

[0060] The data conversion module is used to execute the conversion of sample data from different sources and formats into a unified format or structure for subsequent analysis;

[0061] The analysis and modeling module is used to execute modeling, classification, clustering, and predictive analysis of sample data through machine learning, data mining, and statistical methods.

[0062] The retrieval unit includes an efficient retrieval engine and a query optimization module;

[0063] The efficient retrieval engine is used to execute the acceleration of the data retrieval process using full-text retrieval, inverted index, or vector database technology;

[0064] The query optimization module is used to execute techniques including cache strategy, index construction, and query execution plan to optimize query efficiency.

[0065] The security protection unit includes a user permission management module, a data encryption module, and an audit and monitoring module;

[0066] The user permission management module is used to execute permission allocation according to different roles such as administrators, researchers, and ordinary users to ensure that different users can only access the data they have permissions to;

[0067] The encryption module is used to execute to ensure the security of data during storage and transmission and prevent data leakage;

[0068] The monitoring module is used to execute recording the access logs of users to sample data for security auditing and monitoring.

[0069] The interface unit includes a RESTful API module and an SDK support module;

[0070] The RESTful API module is used to execute providing an interface based on the HTTP protocol to support operations such as adding, deleting, modifying, and querying data;

[0071] The SDK support module is used to execute providing convenient data access tools for developers to simplify the operation of the sample library.

[0072] The data sharing unit includes a sharing mechanism module and a version control module;

[0073] A sharing mechanism module for enabling the sample library to support data sharing and collaboration among different users or different systems.

[0074] A version control module for performing version management on sample data and tracking the change history of the data.

[0075] The sample data processing unit further includes a hierarchical storage module and a data compression module.

[0076] A hierarchical storage module for storing data on different storage media according to the importance and access frequency of the data, such as hot data storage and cold data storage.

[0077] A data compression module for compressing the sample data, removing redundant data, and reducing storage costs.

[0078] Although the present invention has been described above with reference to the embodiments, various improvements can be made to it and components therein can be replaced with equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the various features in the disclosed embodiments of the present invention can be combined with each other in any way, and the cases of these combinations are not exhaustively described in this specification only for the sake of saving space and resources. Therefore, the present invention is not limited to the specific embodiments disclosed herein, but includes all technical solutions falling within the scope of the claims.

Claims

1. A sample library-based operating system management system, characterized in that It includes: A management unit, which is used to perform operations responsible for the storage, maintenance, and retrieval of sample data, including the application of data storage media, file systems, and database technologies; A sample data processing unit, which is used to perform preprocessing, cleaning, transformation, analysis, and modeling operations on the data stored in the sample library; A retrieval unit, which is used to provide an efficient query interface and support retrieval based on conditions or keywords; A security protection unit, which is used to provide control over user permissions, data encryption, and audit log functions; An interface unit, which is used to provide a standardized API interface to enable external systems or users to conveniently access and operate the data in the sample library; A data sharing unit, which is used to support collaborative work and data sharing among multiple users, across departments, or across institutions.

2. The management operating system based on a sample library according to claim 1, wherein The management unit includes a data storage module and a data format module; The data storage module is used to store data based on relational databases or non-relational databases and use big data storage solutions; The data format module is used to manage and convert formats using a unified standard or protocol when there are different formats such as images, text, and videos during the storage of sample data.

3. The sample library management operating system according to claim 2, wherein The sample data processing unit includes a data preprocessing module, a data conversion module, and an analysis and modeling module: The data preprocessing module is used to remove noise, fill in null values, and detect outliers in the data; The data conversion module is used to convert sample data from different sources and formats into a unified format or structure for subsequent analysis; The analysis and modeling module is used to perform modeling, classification, clustering, and predictive analysis on sample data through machine learning, data mining, and statistical methods.

4. A sample library management operating system according to claim 3, characterized in that, The retrieval unit includes an efficient retrieval engine and a query optimization module; The efficient retrieval engine is used to accelerate the data retrieval process using full-text retrieval, inverted index, or vector database technologies; The query optimization module is used to optimize query efficiency by including caching strategies, index construction, and query execution plan technologies.

5. A sample library management operating system according to claim 4, characterized in that, The security protection unit includes a user permission management module, a data encryption module, and an audit and monitoring module; The user permission management module is used to allocate permissions according to different roles such as administrators, researchers, and ordinary users to ensure that different users can only access the data they have permissions to; The encryption module is used to ensure the security of data during storage and transmission and prevent data leakage; The monitoring module is used to record the access logs of users to sample data for security auditing and monitoring.

6. The management operating system based on a sample library according to claim 5, characterized in that, The interface unit includes a RESTful API module and an SDK support module; The RESTful API module is used to provide an interface based on the HTTP protocol and support operations such as adding, deleting, modifying, and querying data; The SDK support module is used to provide convenient data access tools for developers and simplify the operation of the sample library.

7. A sample library management operating system according to claim 6, characterized in that The data sharing unit includes a sharing mechanism module and a version control module; The sharing mechanism module is used to enable the sample library to support data sharing and collaboration among different users or different systems; The version control module is used to perform version management on sample data and track the change history of the data.

8. A sample library management operating system according to claim 7, characterized in that, The sample data processing unit further includes a hierarchical storage module and a data compression module; The hierarchical storage module is used to store data on different storage media according to the importance and access frequency of the data, such as hot data storage and cold data storage; The data compression module is used to compress the sample data, remove redundant data, and reduce the storage cost.

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