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E-MTAB-5200

ABSTRACT: The International Cancer Genome project: Pan-Cancer Analysis of Whole Genomes (PCAWG)

PROVIDER: E-MTAB-5200 | ExpressionAtlas | 2025-01-23

REPOSITORIES: ExpressionAtlas

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Dataset's files

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			Action	DRS
	E-MTAB-5200-analysis-methods.tsv	Tabular
	E-MTAB-5200-atlasExperimentSummary.Rdata	Rdata
	E-MTAB-5200-coexpressions.tsv.gz	Tabular
	E-MTAB-5200-configuration.xml	Xml
	E-MTAB-5200-configuration.xml.oldnames	Xml

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E-MTAB-5423

Project description:The International Cancer Genome project: Pan-Cancer Analysis of Whole Genomes (PCAWG)- Alternative view by individual

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The International Cancer Genome project: Pan-Cancer Analysis of Whole Genomes (PCAWG)

Project description:The Pan-Cancer Analysis of Whole Genomes (PCAWG) study is an international collaboration to identify common patterns of mutation in more than 2,800 cancer whole genomes from the International Cancer Genome Consortium. Building upon previous work which examined cancer coding regions, this project is exploring the nature and consequences of somatic and germline variations in both coding and non-coding regions, with specific emphasis on cis-regulatory sites, non-coding RNAs, and large-scale structural alterations. Read more on the <a href=\"https://dcc.icgc.org/pcawg\" target=\"_blank\">project website</a>.<br>This is a subset featuring RNA-seq transcription profiling data of 27 cancer subtypes in 19 tissues. Some donors have matched normal tissue. As general reference, a subset of normal tissue samples from the GTEx project were included in this experiment.

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The International Cancer Genome project: Pan-Cancer Analysis of Whole Genomes (PCAWG)- Alternative view by individual

Project description:The Pan-Cancer Analysis of Whole Genomes (PCAWG) study is an international collaboration to identify common patterns of mutation in more than 2,800 cancer whole genomes from the International Cancer Genome Consortium. Building upon previous work which examined cancer coding regions, this project is exploring the nature and consequences of somatic and germline variations in both coding and non-coding regions, with specific emphasis on cis-regulatory sites, non-coding RNAs, and large-scale structural alterations. Read more on the <a href=\"https://dcc.icgc.org/pcawg\" target=\"_blank\">project website</a>.<br>This is a subset featuring RNA-seq transcription profiling data of 27 cancer subtypes in 19 tissues. Some donors have matched normal tissue.<br>This is the alternative view of the experiment for Expression Atlas to show gene expression per donor.

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