Bioinformatics database system and data processing method
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A bioinformatics and database technology, applied in the fields of bioinformatics, electrical digital data processing, special data processing applications, etc., can solve problems such as difficult unified management, and achieve the effect of improving work efficiency
Inactive Publication Date: 2014-04-09
INSPUR BEIJING ELECTRONICS INFORMATION IND
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These methods exist in a decentralized form, and it is difficult to centralize and manage them in a unified manner.
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Embodiment 1
[0023] This example introduces the bioinformatics database system, such as figure 1 As shown, including: sample module 101, project module 102 and experiment module 103, wherein:
[0024] The sample module 101 is used to set an identification for the sample and import the sample into the sample library;
[0025] The project module 102 is used to create a project, add a sample to the project from the sample library, and associate the sample with the project;
[0026] The project created by the project module 102 may be a first-level project or a second-level project (sub-project) in a first-level project.
[0027] The experiment module 103 is used to create an experiment in the project, add samples from the samples associated with the project to the experiment, associate the sample with the experiment, formulate the experiment type, perform high-performance computing, and output the experiment result.
[0028] The high-performance computing process includes one or more of the...
Embodiment 2
[0042] This embodiment introduces the process of implementing data processing by using the above-mentioned database system, such as figure 2 shown, including the following steps:
[0043] Step 1, import the sample into the sample module, and the sample module sets a unique identifier for each imported sample;
[0044] The sample import sample module is to input the sample information into the bioinformatics database system, and the sample information includes various sample data that can be input.
[0045] Step 2, the project module creates a project;
[0046] Step 3, the project module adds samples from the sample module to the project, and associates the added samples with the project;
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Abstract
The invention discloses a bioinformatics database system and a data processing method. Unified management of bioinformatics data can be achieved. The bioinformatics database system comprises a sample module, a project module and a test module. The data processing method comprises the steps that identification is set for samples by the sample module and the samples are guided into a sample base; a project is established by the project module, the samples are added to the project from the sample base, and the samples and the project are associated; a test is created in the project by the test module, the samples are added to the test from the samples associated with the project and are associated with the test, a test type is made, high-performance calculation processing is conducted, and a test result is output. According to the system and method, all the links can be connected systematically, unified management can be achieved, the requirement for informationized management in the bioinformatics can be satisfied, and the work efficiency can be improved.
Description
technical field [0001] The invention relates to the field of computers, in particular to a bioinformatics database system and a data processing method. Background technique [0002] With the rapid development of experimental technology in the field of life sciences, the level of automation and intelligence of scientific instruments is increasing day by day, and the data output capability has made a qualitative leap. At the same time, life science research puts forward higher standards and requirements for analysis and testing in terms of sample quantity, analysis cycle, analysis items and data accuracy, etc., and the information produced by biological laboratories grows geometrically. In traditional biological laboratories, due to the variety of data types and formats, data storage, exchange, query, analysis, and maintenance are very inconvenient, which seriously hinders the information submission between researchers. Various experimental processes involved in bioinformatic...
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