Global optimization of somatic variant identification in cancer genomes with a global community challenge

Global optimization of somatic variant identification in cancer genomes with a global community challenge

[...]a set of ten tumor-normal pairs from actual patients will be made available to any team, after approval by the ICGC Data Access Compliance Office. The best-performing methods will be applied retrospectively to over 10,000 cancer genomes stored in CGHub, and the results will be distributed to th...

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Veröffentlicht in:Nature genetics 2014-04, Vol.46 (4), p.318-319
Hauptverfasser: Boutros, Paul C, Ewing, Adam D, Ellrott, Kyle, Norman, Thea C, Dang, Kristen K, Hu, Yin, Kellen, Michael R, Suver, Christine, Bare, J Christopher, Stein, Lincoln D, Spellman, Paul T, Stolovitzky, Gustavo, Friend, Stephen H, Margolin, Adam A, Stuart, Joshua M
Format: Artikel
Sprache:eng
Schlagworte:
631/114/2785
631/208/514/1948
Accuracy
Agriculture
Animal Genetics and Genomics
Biomedical and Life Sciences
Biomedicine
Cancer
Cancer Research
Causes of
Computational Biology - methods
correspondence
Crowdsourcing - trends
Databases, Genetic
DNA Mutational Analysis - methods
Gene Function
Gene mutations
Genetic aspects
Genetic research
Genetic Variation - genetics
Genome, Human - genetics
Genomes
Genomics
Health aspects
High-Throughput Screening Assays - methods
Human Genetics
Humans
Identification and classification
Methods
Mutation
Neoplasms - genetics
Software
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Beschreibung
Zusammenfassung:[...]a set of ten tumor-normal pairs from actual patients will be made available to any team, after approval by the ICGC Data Access Compliance Office. The best-performing methods will be applied retrospectively to over 10,000 cancer genomes stored in CGHub, and the results will be distributed to the research community. [...]the top-scoring methods will be made available as open source tools, allowing users around the world to process their own data with the same pipelines validated and used by the ICGC and TCGA.
ISSN:1061-4036
1546-1718
DOI:10.1038/ng.2932