Relating genes to function: identifying enriched transcription factors using the ENCODE ChIP-Seq significance tool

Author:

Auerbach Raymond K.,Chen Bin,Butte Atul J.

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference5 articles.

1. Controlling the false discovery rate: a practical and powerful approach to multiple testing;Benjamini;J. Roy. Stat. Soc. Series B Stat. Methodol.,1995

2. An integrated encyclopedia of DNA elements in the human genome;ENCODE Project Consortium et al.;Nature,2012

3. Genome-wide mapping of in vivo protein-DNA interactions;Johnson;Science,2007

4. Genome-wide profiles of STAT1 DNA association using chromatin immunoprecipitation and massively parallel sequencing;Robertson;Nat. Methods,2007

5. Cscan: finding common regulators of a set of genes by using a collection of genome-wide ChIP-seq datasets;Zambelli;Nucleic Acids Res.,2012

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