Full-chain data analysis system for biomedicine

A data analysis system and biomedical technology, applied in the field of full-chain data analysis system, can solve problems such as disconnection, inability of the platform to have efficient transmission, storage, process development and online computing analysis at the same time, low applicability, etc., to achieve full coverage , good scalability and strong potential, and the effect of wide user audience

Pending Publication Date: 2021-08-06

SHANGHAI JIAO TONG UNIV

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AI-Extracted Technical Summary

Problems solved by technology

[0004] Although there are already all-round systems for biomedical data in the existing technology, due to the lack of relatively complete technical system design for medical information and molecular omics data, the above platforms often cannot simultaneo...

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Abstract

The invention relates to a full-chain data analysis system for biomedicine. The system comprises a user management system, a warehouse management system and an online analysis system which are respectively connected with a personal center module, the warehouse management system comprises a code warehouse module, a software warehouse module and a data warehouse module; the online analysis system is provided with a workflow application publishing subsystem, calls codes and software in the code storage module and the software storage module, analyzes the data stored in the data storage module or the received online uploaded data, and outputs an analysis result. Compared with the prior art, the method has the advantages of wide longitudinal coverage of analysis links, wide transverse coverage of analysis objects, low development complexity, good expandability, online operation and the like.

Application Domain

BiostatisticsInstruments

Technology Topic

Online analysisBiomedicine +10

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Examples

Experimental program(1)

Example Embodiment

[0029] Example

[0030] like figure 1 As shown, a full-chain data analysis system for biomedicine, including user management systems, warehousing management systems, and online analysis systems that are connected to individual center modules, and warehouse management systems include code storage modules, software storage modules, and data storage. Module, online analysis system feature a workflow application issuing subsystem, calling code storage module and software in the software warehousing module, analyzing data stored in the data storage module or received online uploaded data, and outputs analysis result

[0031] In this embodiment, the data analysis system is supported by a high performance computing platform, and the underlying resource support includes a cloud storage server, a web server, and a computational resource scheduling system.

[0032] The function of the user management system includes reviewing the registration information. After the audit is passed, the user ID corresponding to the individual center module is passed, and all systems and modules of the data analysis system are fully open to the user ID of the completed audit.

[0033] Registration information includes mailbox, name, and basic information.

[0034] In this embodiment, the user management system is based on the web server, and the web client is used as the most front-end display layer interacting with the user, and the web client features the HTTP request, obtaining data, view parsing, and returning.

[0035] The warehouse management system encapsulates code and software through the code storage module and software storage module.

[0036] The code storage module includes user upload code and code basic information, code and code basic information, by workflow application release subsystem, is running by an online analysis system online.

[0037] The software storage module includes software mirroring and corresponding mirror information uploaded by users, providing the operating environment of the code storage module through software mirroring and mirror information.

[0038] The data stored in the data warehousing module specifically includes the original data and the corresponding data description information uploaded by the user.

[0039] Personal Center module is responsible for user information maintenance, as well as the warehousing, workflow and analysis results uploaded by the management, including addition, delete operation, query operation, and modification operation.

[0040] The online analysis system supports efficient transmission and privacy protection.

[0041] The analysis model of online analysis system includes histological data analysis, medical information analysis, multi-level data integration analysis and visualization analysis.

[0042] The functionality of the online analysis system also includes adjustments to the parameters of the workflow application release subsystem.

[0043] The online analysis system is connected to the high performance computing platform, and the online data analysis is performed by high performance computing clusters of high performance computing platforms.

[0044] like figure 2 As shown, the implementation steps of the present invention are specifically shown below:

[0045] In step 1, the new user has login permissions by registering this system in a web page, and then performs step 2;

[0046] In step 2, the purpose of the user input is acquired and determined. If the purpose of the use of the analysis workflow, step 31 is performed, and then step 32 is performed only for the purpose of the data analysis;

[0047] In step 31, enter the warehouse management system, then perform steps 411 and 412, upload code and software mirroring to the code storage submodule and software storage submodule, and fill in the information of each file, next to step 51, editing And release workflow.

[0048] In step 32, enter the online analysis system, then perform step 421, select the analysis category to analyze the analysis, medical information analysis, multi-level data integration analysis or visualization analysis, perform step 52, and select the same stored in the system The workflow provided by the user then performs step 6;

[0049] In step 6, it is judged whether or not the data stored submodule stored in the system is stored in the system, if it is (that is, step 413 has been executed), fill in the corresponding warehouse ID, directly enter step 8; if not, Then go to step 7;

[0050] In step 7, the compressed data to be analyzed online is uploaded, and then proceeds to step 8;

[0051] In step 8, select the execution analysis, command to pass the job scheduling system through the high-performance computer, and run the workflow code, then enter step 9;

[0052] In step 9, the analysis results are present on the web page and support user download and deletion.

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Classification and recommendation of technical efficacy words

Full coverage

Full-chain data analysis system for biomedicine

AI-Extracted Technical Summary

Problems solved by technology

Abstract

Image

Examples

Example Embodiment

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Description & Claims & Application Information

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