Automated identification of pathways from quantitative genetic interaction data-Reference-Cited by-同舟云学术

Automated identification of pathways from quantitative genetic interaction data

Published:2010-01 Issue:1 Volume:6 Page:379
ISSN:1744-4292
Container-title:Molecular Systems Biology
language:en
Short-container-title:Mol Syst Biol

Author:

Battle Alexis¹,Jonikas Martin C²³⁴⁵,Walter Peter³⁴,Weissman Jonathan S²⁴⁵,Koller Daphne¹

Affiliation:

1. Department of Computer Science, Stanford University Stanford CA USA

2. Department of Cellular and Molecular Pharmacology, University of California San Francisco CA USA

3. Department of Biochemistry and Biophysics, University of California San Francisco CA USA

4. Howard Hughes Medical Institute, University of California San Francisco CA USA

5. California Institute for Quantitative Biomedical Research San Francisco CA USA

Publisher

EMBO

Subject

Applied Mathematics,Computational Theory and Mathematics,General Agricultural and Biological Sciences,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,Information Systems

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1038/msb.2010.27

Reference46 articles.

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3. A large-scale RNAi screen in human cells identifies new components of the p53 pathway

4. Integrated Assessment and Prediction of Transcription Factor Binding

5. Designer deletion strains derived fromSaccharomyces cerevisiae S288C: A useful set of strains and plasmids for PCR-mediated gene disruption and other applications

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