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Mol Biosyst. 2014 Nov;10(11):2935-41. doi: 10.1039/c4mb00354c.

Concerted bioinformatic analysis of the genome-scale blood transcription factor compendium reveals new control mechanisms.

Author information

1
The Roslin Institute, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, UK. anagha.joshi@roslin.ed.ac.uk.

Abstract

Transcription factors play a key role in the development of a disease. ChIP-sequencing has become a preferred technique to investigate genome-wide binding patterns of transcription factors in vivo. Although this technology has led to many important discoveries, the rapidly increasing number of publicly available ChIP-sequencing datasets still remains a largely unexplored resource. Using a compendium of 144 publicly available murine ChIP-sequencing datasets in blood, we show that systematic bioinformatic analysis can unravel diverse aspects of transcription regulation; from genome-wide binding preferences, finding regulatory partners and assembling regulatory complexes, to identifying novel functions of transcription factors and investigating transcription dynamics during development.

PMID:
25133983
PMCID:
PMC4263230
DOI:
10.1039/c4mb00354c
[Indexed for MEDLINE]
Free PMC Article

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