Computational approaches to identify functional genetic variants in cancer genomes
Research output: Contribution to journal › Journal article › Research › peer-review
The International Cancer Genome Consortium (ICGC) aims to catalog genomic abnormalities in tumors from 50 different cancer types. Genome sequencing reveals hundreds to thousands of somatic mutations in each tumor but only a minority of these drive tumor progression. We present the result of discussions within the ICGC on how to address the challenge of identifying mutations that contribute to oncogenesis, tumor maintenance or response to therapy, and recommend computational techniques to annotate somatic variants and predict their impact on cancer phenotype.
Original language | English |
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Journal | Nature Methods |
Volume | 10 |
Issue number | 8 |
Pages (from-to) | 723-729 |
Number of pages | 7 |
DOIs | |
Publication status | Published - Aug 2013 |
Externally published | Yes |
- Computational Biology, Genetic Variation, Genome, Human, Humans, Mutation, Neoplasms
Research areas
ID: 122676258