Pathway and network analysis of cancer genomes

Creixell, Pau, Reimand, Juri, Haider, Syed, Wu, Guanming, Shibata, Tatsuhiro, Vazquez, Miguel, Mustonen, Ville, Gonzalez-Perez, Abel, Pearson, John, Sander, Chris, Raphael, Benjamin J., Marks, Debora S., Ouellette, B. F. Francis, Valencia, Alfonso, Bader, Gary D., Boutros, Paul C., Stuart, Joshua M., Linding, Rune, Lopez-Bigas, Nuria, Stein, Lincoln D. and International Cancer Genome Consortium (2015) Pathway and network analysis of cancer genomes. Nature Methods, 12 7: 615-621. doi:10.1038/nmeth.3440

Author Creixell, Pau
Reimand, Juri
Haider, Syed
Wu, Guanming
Shibata, Tatsuhiro
Vazquez, Miguel
Mustonen, Ville
Gonzalez-Perez, Abel
Pearson, John
Sander, Chris
Raphael, Benjamin J.
Marks, Debora S.
Ouellette, B. F. Francis
Valencia, Alfonso
Bader, Gary D.
Boutros, Paul C.
Stuart, Joshua M.
Linding, Rune
Lopez-Bigas, Nuria
Stein, Lincoln D.
International Cancer Genome Consortium
Title Pathway and network analysis of cancer genomes
Journal name Nature Methods   Check publisher's open access policy
ISSN 1548-7105
Publication date 2015-07
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1038/nmeth.3440
Volume 12
Issue 7
Start page 615
End page 621
Total pages 7
Place of publication London, United Kingdom
Publisher Nature Publishing Group
Collection year 2016
Language eng
Abstract Genomic information on tumors from 50 cancer types cataloged by the International Cancer Genome Consortium (ICGC) shows that only a few well-studied driver genes are frequently mutated, in contrast to many infrequently mutated genes that may also contribute to tumor biology. Hence there has been large interest in developing pathway and network analysis methods that group genes and illuminate the processes involved. We provide an overview of these analysis techniques and show where they guide mechanistic and translational investigations.
Keyword Cancer genomes
Driver genes
Pathway and network analysis
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Critical review of research, literature review, critical commentary
Collections: Official 2016 Collection
Institute for Molecular Bioscience - Publications
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Citation counts: TR Web of Science Citation Count  Cited 14 times in Thomson Reuters Web of Science Article | Citations
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