Exploring TCGA Pan-Cancer Data at the UCSC Cancer Genomics Browser

The UCSC Cancer Genomics Browser (https://genome-cancer.ucsc.edu) offers interactive visualization and exploration of TCGA genomic, phenotypic, and clinical data, as produced by the Cancer Genome Atlas Research Network. Researchers can explore the impact of genomic alterations on phenotypes by visua...

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Autores principales: Cline, Melissa S., Craft, Brian, Swatloski, Teresa, Goldman, Mary, Ma, Singer, Haussler, David, Zhu, Jingchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2013
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3788369/
https://www.ncbi.nlm.nih.gov/pubmed/24084870
http://dx.doi.org/10.1038/srep02652
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author Cline, Melissa S.
Craft, Brian
Swatloski, Teresa
Goldman, Mary
Ma, Singer
Haussler, David
Zhu, Jingchun
author_facet Cline, Melissa S.
Craft, Brian
Swatloski, Teresa
Goldman, Mary
Ma, Singer
Haussler, David
Zhu, Jingchun
author_sort Cline, Melissa S.
collection PubMed
description The UCSC Cancer Genomics Browser (https://genome-cancer.ucsc.edu) offers interactive visualization and exploration of TCGA genomic, phenotypic, and clinical data, as produced by the Cancer Genome Atlas Research Network. Researchers can explore the impact of genomic alterations on phenotypes by visualizing gene and protein expression, copy number, DNA methylation, somatic mutation and pathway inference data alongside clinical features, Pan-Cancer subtype classifications and genomic biomarkers. Integrated Kaplan–Meier survival analysis helps investigators to assess survival stratification by any of the information.
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spelling pubmed-37883692013-10-18 Exploring TCGA Pan-Cancer Data at the UCSC Cancer Genomics Browser Cline, Melissa S. Craft, Brian Swatloski, Teresa Goldman, Mary Ma, Singer Haussler, David Zhu, Jingchun Sci Rep Article The UCSC Cancer Genomics Browser (https://genome-cancer.ucsc.edu) offers interactive visualization and exploration of TCGA genomic, phenotypic, and clinical data, as produced by the Cancer Genome Atlas Research Network. Researchers can explore the impact of genomic alterations on phenotypes by visualizing gene and protein expression, copy number, DNA methylation, somatic mutation and pathway inference data alongside clinical features, Pan-Cancer subtype classifications and genomic biomarkers. Integrated Kaplan–Meier survival analysis helps investigators to assess survival stratification by any of the information. Nature Publishing Group 2013-10-02 /pmc/articles/PMC3788369/ /pubmed/24084870 http://dx.doi.org/10.1038/srep02652 Text en Copyright © 2013, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/
spellingShingle Article
Cline, Melissa S.
Craft, Brian
Swatloski, Teresa
Goldman, Mary
Ma, Singer
Haussler, David
Zhu, Jingchun
Exploring TCGA Pan-Cancer Data at the UCSC Cancer Genomics Browser
title Exploring TCGA Pan-Cancer Data at the UCSC Cancer Genomics Browser
title_full Exploring TCGA Pan-Cancer Data at the UCSC Cancer Genomics Browser
title_fullStr Exploring TCGA Pan-Cancer Data at the UCSC Cancer Genomics Browser
title_full_unstemmed Exploring TCGA Pan-Cancer Data at the UCSC Cancer Genomics Browser
title_short Exploring TCGA Pan-Cancer Data at the UCSC Cancer Genomics Browser
title_sort exploring tcga pan-cancer data at the ucsc cancer genomics browser
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3788369/
https://www.ncbi.nlm.nih.gov/pubmed/24084870
http://dx.doi.org/10.1038/srep02652
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