Edinburgh Research Explorer

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

Research output: Contribution to journalArticle

Related Edinburgh Organisations

Open Access permissions



  • Download as Adobe PDF

    Rights statement: This Open Access Article is licensed under a Creative Commons Attribution 3.0 Unported Licence

    Final published version, 3 MB, PDF document

Original languageEnglish
Pages (from-to)2935-2941
JournalMolecular BioSystems
Issue number11
Early online date11 Aug 2014
Publication statusPublished - 18 Aug 2014


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.

Download statistics

No data available

ID: 16685832