The Pan-Cancer Analysis of Whole Genomes (PCAWG) project generated a vast amount of whole-genome cancer sequencing resource data. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumor types, we provide a user’s guide to the five publicly available online data exploration and visualization tools introduced in the PCAWG marker paper. These tools are ICGC Data Portal, UCSC Xena, Chromothripsis Explorer, Expression Atlas, and PCAWG-Scout. We detail use cases and analyses for each tool, show how they incorporate outside resources from the larger genomics ecosystem, and demonstrate how the tools can be used together to understand the ...
For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data alo...
Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled syst...
The UCSC Cancer Genomics Browser (https://genome-cancer.ucsc.edu/) is a web-based application that i...
The Pan-Cancer Analysis of Whole Genomes (PCAWG) project generated a vast amount of whole-genome can...
The Pan-Cancer Analysis of Whole Genomes (PCAWG) project generated a vast amount of whole-genome can...
The UCSC Cancer Genomics Browser (https://genome-cancer.ucsc.edu) offers interactive visualization a...
The Cancer Genome Atlas (TCGA) has given researchers and clinicians unprecedented access to many dif...
This dataset includes the harmonised version of all The Cancer Genome Atlas (TCGA) RNA-Seq data (33 ...
Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled syst...
The Cancer Genome Atlas Pan-Cancer Analysis Working Group collaborated on the Synapse software platf...
With the advent of OMICs technologies, both individual research groups and consortia have spear-head...
For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data alo...
Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled syst...
The UCSC Cancer Genomics Browser (https://genome-cancer.ucsc.edu/) is a web-based application that i...
The Pan-Cancer Analysis of Whole Genomes (PCAWG) project generated a vast amount of whole-genome can...
The Pan-Cancer Analysis of Whole Genomes (PCAWG) project generated a vast amount of whole-genome can...
The UCSC Cancer Genomics Browser (https://genome-cancer.ucsc.edu) offers interactive visualization a...
The Cancer Genome Atlas (TCGA) has given researchers and clinicians unprecedented access to many dif...
This dataset includes the harmonised version of all The Cancer Genome Atlas (TCGA) RNA-Seq data (33 ...
Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled syst...
The Cancer Genome Atlas Pan-Cancer Analysis Working Group collaborated on the Synapse software platf...
With the advent of OMICs technologies, both individual research groups and consortia have spear-head...
For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data alo...
Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled syst...
The UCSC Cancer Genomics Browser (https://genome-cancer.ucsc.edu/) is a web-based application that i...