NetProphet 2.0: mapping transcription factor networks by exploiting scalable data resources-Reference-Cited by-同舟云学术

NetProphet 2.0: mapping transcription factor networks by exploiting scalable data resources

Published:2017-09-12 Issue:2 Volume:34 Page:249-257
ISSN:1367-4803
Container-title:Bioinformatics
language:en
Short-container-title:

Author:

Kang Yiming¹,Liow Hien-Haw²,Maier Ezekiel J¹,Brent Michael R¹^ORCID

Affiliation:

1. Department of Computer Science and Engineering and Center for Genome Sciences and Systems Biology, Washington University, Saint Louis, MO, USA

2. Department of Mathematics, Washington University, Saint Louis, MO, USA

Funder

NIH

National Human Genome Research Institute

National Institute of General Medical Sciences

Publisher

Oxford University Press (OUP)

Subject

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

Link

http://academic.oup.com/bioinformatics/article-pdf/34/2/249/25114273/btx563.pdf

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2. An atlas of active enhancers across human cell types and tissues;Andersson;Nature,2014

3. Structure and evolution of transcriptional regulatory networks;Babu;Curr. Opin. Struct. Biol,2004

4. Transcriptional networks controlling the cell cycle;Bonke;G3 (Bethesda, Md.),2013

5. Inferring condition-specific modulation of transcription factor activity in yeast through regulon-based analysis of genomewide expression;Boorsma;PLoS One,2008

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