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Wigwams: identifying gene modules co-regulated across multiple biological conditions
Author(s) -
Krzysztof Polański,
Johanna Rhodes,
Claire Hill,
Peijun Zhang,
Dafyd J. Jenkins,
Steven J. Kiddle,
Aleksey Jironkin,
Jim Bey,
Vicky BuchananWollaston,
Sascha Ott,
Katherine Denby
Publication year - 2013
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btt728
Subject(s) - computational biology , computer science , gene , biology , genetics
Identification of modules of co-regulated genes is a crucial first step towards dissecting the regulatory circuitry underlying biological processes. Co-regulated genes are likely to reveal themselves by showing tight co-expression, e.g. high correlation of expression profiles across multiple time series datasets. However, numbers of up- or downregulated genes are often large, making it difficult to discriminate between dependent co-expression resulting from co-regulation and independent co-expression. Furthermore, modules of co-regulated genes may only show tight co-expression across a subset of the time series, i.e. show condition-dependent regulation.

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