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Dataset Information

Comparison of Gene Coexpression Profiles and Construction of Conserved Gene Networks to Find Functional Modules.


ABSTRACT:

Background

Computational approaches toward gene annotation are a formidable challenge, now that many genome sequences have been determined. Each gene has its own function, but complicated cellular functions are achieved by sets of genes. Therefore, sets of genes with strong functional relationships must be identified. For this purpose, the similarities of gene expression patterns and gene sequences have been separately utilized, although the combined information will provide a better solution.

Result & discussion

We propose a new method to find functional modules, by comparing gene coexpression profiles among species. A coexpression pattern is represented as a list of coexpressed genes with each guide gene. We compared two coexpression lists, one from a human guide gene and

SUBMITTER: Okamura Y 

PROVIDER: S-EPMC4493118 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature