Skip to main content
Download PDF
- Main
Computational approaches to identify functional genetic variants in cancer genomes
- Gonzalez-Perez, Abel;
- Mustonen, Ville;
- Reva, Boris;
- Ritchie, Graham RS;
- Creixell, Pau;
- Karchin, Rachel;
- Vazquez, Miguel;
- Fink, J Lynn;
- Kassahn, Karin S;
- Pearson, John V;
- Bader, Gary D;
- Boutros, Paul C;
- Muthuswamy, Lakshmi;
- Ouellette, BF Francis;
- Reimand, Jüri;
- Linding, Rune;
- Shibata, Tatsuhiro;
- Valencia, Alfonso;
- Butler, Adam;
- Dronov, Serge;
- Flicek, Paul;
- Shannon, Nick B;
- Carter, Hannah;
- Ding, Li;
- Sander, Chris;
- Stuart, Josh M;
- Stein, Lincoln D;
- Lopez-Bigas, Nuria
Published Web Location
https://doi.org/10.1038/nmeth.2562Abstract
International Cancer Genome Consortium members review and recommend computational approaches for identifying mutations that drive cancer progression from among the many sequence variants present in tumor genomes.
Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.