Detailing regulatory networks through large scale data integration | Zendy

Curtis Huttenhower | Zendy; K. Tsheko Mutungu | Zendy; Natasha Indik | Zendy; Woongcheol Yang | Zendy; Mark Schroeder | Zendy; Joshua J Forman | Zendy; Olga G. Troyanskaya | Zendy; Hilary A. Coller | Zendy

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Detailing regulatory networks through large scale data integration

Author(s) -

Curtis Huttenhower,

K. Tsheko Mutungu,

Natasha Indik,

Woongcheol Yang,

Mark Schroeder,

Joshua J Forman,

Olga G. Troyanskaya,

Hilary A. Coller

Publication year - 2009

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/btp588

Subject(s) - scale (ratio) , computer science , data integration , data science , data mining , geography , cartography

Much of a cell's regulatory response to changing environments occurs at the transcriptional level. Particularly in higher organisms, transcription factors (TFs), microRNAs and epigenetic modifications can combine to form a complex regulatory network. Part of this system can be modeled as a collection of regulatory modules: co-regulated genes, the conditions under which they are co-regulated and sequence-level regulatory motifs.

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