TCGA RNA-Seq Track Settings

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TCGA RNA-seq average expression per tumor type

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	dense	Adrenocortical	TCGA Adrenocortical carcinoma	Data format
	dense	Bladder	TCGA Bladder Urothelial Carcinoma	Data format
	dense	Brain Lower Grade	TCGA Brain Lower Grade Glioma	Data format
	dense	Breast Invasive	TCGA Breast invasive carcinoma	Data format
	dense	Cervical	TCGA Cervical squamous cell carcinoma and endocervical adenocarcinoma	Data format
	dense	Colon	TCGA Colon adenocarcinoma	Data format
	dense	Diffuse B-Cell	TCGA Lymphoid Neoplasm Diffuse Large B-cell Lymphoma	Data format
	dense	Glioblast.	TCGA Glioblastoma multiforme	Data format
	dense	Head and Neck	TCGA Head and Neck squamous cell carcinoma	Data format
	dense	Kidney Chromophobe	TCGA Kidney Chromophobe	Data format
	dense	Kidney clear cell	TCGA Kidney renal clear cell carcinoma	Data format
	dense	Kidney Papillary	TCGA Kidney renal papillary cell carcinoma	Data format
	dense	Liver	TCGA Liver hepatocellular carcinoma	Data format
	dense	Lung	TCGA Lung adenocarcinoma	Data format
	dense	Lung squamous	TCGA Lung squamous cell carcinoma	Data format
	dense	Myeloid (Blood)	TCGA Acute Myeloid Leukemia	Data format
	dense	Ovarian	TCGA Ovarian serous cystadenocarcinoma	Data format
	dense	Pancreatic	TCGA Pancreatic adenocarcinoma	Data format
	dense	Prostate	TCGA Prostate adenocarcinoma	Data format
	dense	Rectum	TCGA Rectum adenocarcinoma	Data format
	dense	Sarcoma	TCGA Sarcoma	Data format
	dense	Skin	TCGA Skin Cutaneous Melanoma	Data format
	dense	Thyroid	TCGA Thyroid carcinoma	Data format
	dense	Uterine Corpus	TCGA Uterine Corpus Endometrial Carcinoma	Data format
	dense	Uterine Sarc.	TCGA Uterine Carcinosarcoma	Data format

Data schema/format description and download

Assembly: Human Feb. 2009 (GRCh37/hg19)

Description

The Cancer Genome Atlas is a NIH-funded project to catalog genetic mutations responsible for cancer. The data shown here is RNA-seq expression data produced by the consortium.

For each tumor type, differential gene expression values were averaged over all samples and are expressed as colors ranging from a blue (lowest), to black (no expression change), to red (highest difference). You can mouse over tracks to see the complete description of the tumor type.

Averaging might be misleading or remove important information. To see all values of the dataset and all associated clinical data, in context of copy number variations and mutation information, please use the UCSC Cancer Genome Browser.

For questions or feedback on the data, please contact the National Cancer Institute Center for Bioinformatics at ncicbiit@mail.nih.gov. For questions and feedback on the Pan Can expression dataset, please contact the UCSC Cancer Browser

Methods

TCGA expression data was downloaded from the UCSC Cancer Genome Browser, using the "Download" button. Data was sorted by cancer type, averaged over all samples and assigned a color. Conversion and formatting by Maximilian Haeussler.

Credits

Data shown here are in whole based upon data generated by the TCGA Research Network: http://cancergenome.nih.gov/.