Correlating Gene Expression Variation with cis-Regulatory Polymorphism in Saccharomyces cerevisiae-Reference-Cited by-同舟云学术

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Correlating Gene Expression Variation with cis-Regulatory Polymorphism in Saccharomyces cerevisiae

Published:2010-01-01 Issue: Volume:2 Page:697-707
ISSN:1759-6653
Container-title:Genome Biology and Evolution
language:en
Short-container-title:

Author:

Chen Kevin¹²³,van Nimwegen Erik⁴,Rajewsky Nikolaus²,Siegal Mark L.¹

Affiliation:

1. Center for Genomics and Systems Biology, Department of Biology, New York University

2. Max-Delbrück-Centrum für Molekulare Medizin, Berlin-Buch, Germany

3. Department of Genetics and BioMaPS Institute, Rutgers University

4. Swiss Institute of Bioinformatics, Biozentrum, University of Basel, Basel, Switzerland

Publisher

Oxford University Press (OUP)

Subject

Genetics,Ecology, Evolution, Behavior and Systematics

Link

http://academic.oup.com/gbe/article-pdf/doi/10.1093/gbe/evq054/17483414/evq054.pdf

Reference63 articles.

1. Genetic mapping in human disease;Altshuler;Science,2008

2. In silico detection of sequence variations modifying transcriptional regulation;Andersen;PLoS Comput Biol.,2008

3. A library of yeast transcription factor motifs reveals a widespread function for Rsc3 in targeting nucleosome exclusion at promoters;Badis;Mol Cell.,2008

4. Diversity and complexity in DNA recognition by transcription factors;Badis;Science,2009

5. Next generation software for functional trend analysis;Berriz;Bioinformatics,2009

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1. Deep learning suggests that gene expression is encoded in all parts of a co-evolving interacting gene regulatory structure;Nature Communications;2020-12

2. Functional effects of variation in transcription factor binding highlight long-range gene regulation by epromoters;Nucleic Acids Research;2020-02-29

3. Functional effects of variation in transcription factor binding highlight long-range gene regulation by epromoters;2019-04-29

4. Sequential Integration of Fuzzy Clustering and Expectation Maximization for Transcription Factor Binding Site Identification;Journal of Computational Biology;2018-11

5. Detection of cooperatively bound transcription factor pairs using ChIP-seq peak intensities and expectation maximization;PLOS ONE;2018-07-17

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