2020 Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium @Nature
Global genomics project
Nature SPECIAL | 05 FEBRUARY 2020 Pan-Cancer Analysis of Whole Genomes
- EDITORIAL - The era of massive cancer sequencing projects has reached a turning point
- COMMENT - Genomics: data sharing needs an international code of conduct
- NEWS AND VIEWS - Global genomics project unravels cancer’s complexity at unprecedented scale
- Datasets and Resources | Pan-Cancer Analysis of Whole Genomes 2020@Nature
- Videos | Pan-Cancer Analysis of Whole Genomes 2020@Nature
- Pan-cancer analysis of whole genomes
- Patterns of somatic structural variation in human cancer genomes
- The repertoire of mutational signatures in human cancer
- The evolutionary history of 2,658 cancers
- Genomic basis for RNA alterations in cancer
- Analyses of non-coding somatic drivers in 2,658 cancer whole genomes
- Comprehensive molecular characterization of mitochondrial genomes in human cancers
- Disruption of chromatin folding domains by somatic genomic rearrangements in human cancer
- Pan-cancer analysis of whole genomes identifies driver rearrangements promoted by LINE-1 retrotransposition
- The landscape of viral associations in human cancers
- Comprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing
- Butler enables rapid cloud-based analysis of thousands of human genomes
- Cancer LncRNA Census reveals evidence for deep functional conservation of long noncoding RNAs in tumorigenesis
- Integrative pathway enrichment analysis of multivariate omics data
- Pathway and network analysis of more than 2500 whole cancer genomes
- A deep learning system accurately classifies primary and metastatic cancers using passenger mutation patterns
- High-coverage whole-genome analysis of 1220 cancers reveals hundreds of genes deregulated by rearrangement-mediated cis-regulatory alterations
- Genomic footprints of activated telomere maintenance mechanisms in cancer
- Combined burden and functional impact tests for cancer driver discovery using DriverPower
- Inferring structural variant cancer cell fraction
- Divergent mutational processes distinguish hypoxic and normoxic tumours
Reference:
2020 Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium @Nature
- Datasets and Resources | Pan-Cancer Analysis of Whole Genomes 2020@Nature
- Videos | Pan-Cancer Analysis of Whole Genomes 2020@Nature
- EDITORIAL - The era of massive cancer sequencing projects has reached a turning point
- COMMENT - Genomics: data sharing needs an international code of conduct
- NEWS AND VIEWS - Global genomics project unravels cancer’s complexity at unprecedented scale