The Cancer Genome Atlas Pan-Cancer Analysis Working Group collaborated on the Synapse software platform to share and evolve data, results and methodologies while performing integrative analysis of molecular profiling data from 12 tumor types. The group’s work serves as a pilot case study that provides (i) a template for future large collaborative studies; (ii) a system to support collaborative projects; and (iii) a public resource of highly curated data, results and automated systems for the evaluation of community-developed models. The Cancer Genome Atlas (TCGA) Pan-Cancer project, consisting of over 250 collaborators spread across almost 30 institutions, required researchers to engage in over 60 differen
The Cancer Genome Atlas (TCGA) has given researchers and clinicians unprecedented access to many dif...
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 Pan-Cancer Analysis Working Group collaborated on the Synapse software platf...
The Cancer Genome Atlas (TCGA) Research Network has profiled and analyzed large numbers of human tum...
The Cancer Genome Atlas (TCGA) Research Network has profiled and analyzed large numbers of human tum...
The Cancer Genome Atlas has culminated over a decade of work characterization over 11,000 tumors fro...
Cancer can exhibit different forms depending on the site of origin, cell types, the different forms ...
The Pan-Cancer Analysis of Whole Genomes (PCAWG) project generated a vast amount of whole-genome can...
a public funded project that aims to catalogue and discover major can-cer-causing genomic alteration...
The Cancer Genome Atlas (TCGA) cancer genomics dataset includes over 10,000 tumor-normal exome pairs...
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...
This dataset includes the harmonised version of all The Cancer Genome Atlas (TCGA) RNA-Seq data (33 ...
The Cancer Genome Atlas (TCGA) has given researchers and clinicians unprecedented access to many dif...
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 Pan-Cancer Analysis Working Group collaborated on the Synapse software platf...
The Cancer Genome Atlas (TCGA) Research Network has profiled and analyzed large numbers of human tum...
The Cancer Genome Atlas (TCGA) Research Network has profiled and analyzed large numbers of human tum...
The Cancer Genome Atlas has culminated over a decade of work characterization over 11,000 tumors fro...
Cancer can exhibit different forms depending on the site of origin, cell types, the different forms ...
The Pan-Cancer Analysis of Whole Genomes (PCAWG) project generated a vast amount of whole-genome can...
a public funded project that aims to catalogue and discover major can-cer-causing genomic alteration...
The Cancer Genome Atlas (TCGA) cancer genomics dataset includes over 10,000 tumor-normal exome pairs...
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...
This dataset includes the harmonised version of all The Cancer Genome Atlas (TCGA) RNA-Seq data (33 ...
The Cancer Genome Atlas (TCGA) has given researchers and clinicians unprecedented access to many dif...
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...