Multi-disease variable site analysis platform based on function network

Abstract

The invention provides a multi-disease variable site analysis platform based on a function network. The multi-disease variable site analysis platform comprises a variable gene sequencing detection module, a function enrichment analysis module, a function network construction module, a function network mining module and a shared molecular network identification module, wherein the variable gene sequencing detection module is used for finishing the fundamental analysis of sequencing data; the function enrichment analysis module is used for utilizing a function enrichment analysis tool to analyze a variable gene function; the function network construction module is used for constructing the function network according to a function enrichment analysis result; the function network mining module is used for screening stable network modules from the function network; and the shared molecular network identification module is used for identifying molecular modules shared by different diseases according to the network module. The multi-disease variable site analysis platform analyses differences of different diseases on an aspect of genomic level, establishes an incidence relationship among the diseases from the perspective of molecular function, can systematically identity a shared modular function module among different diseases, effectively analyzes the nosogenesis of similar phenotype diseases, discloses differences between the diseases from the level of genome, increases the comprehensive understanding of the diseases and is favorable for clinic diagnosis and treatment.

Description

Technical field [0001] The invention belongs to the field of biological information technology, and in particular relates to a multi-disease mutation site analysis platform based on a functional network. Background technique [0002] Since many diseases have a high degree of similarity in pathogenic mechanisms and clinical manifestations, this similarity not only helps to study the common pathogenic mechanism of certain diseases, but also increases the diagnosis and treatment of diseases to a certain extent. The difficulty of the disease can easily cause misdiagnosis and delay the treatment of the condition. Similar clinical manifestations not only exist between different diseases, but may also be reflected in different subtypes of the same disease. Therefore, joint research on diseases or disease subtypes with similar clinical manifestations and easily confusing diagnosis will become An effective way to overcome the above difficulties. [0003] In recent years, with the continuo...

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Problems solved by technology

[0004] However, previous studies often focus on a single disease and describe its genomic variation, ignoring the potential connection between diseases. However, the method based on functional network can more systematically identify molecular functional modules shared by different diseases, and effectively analyze similarities. Pathogenesis of phenotypic diseases

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