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The UCSC cancer genomics browser: update 2011

The UCSC Cancer Genomics Browser (https://genome-cancer.ucsc.edu) comprises a suite of web-based tools to integrate, visualize and analyze cancer genomics and clinical data. The browser displays whole-genome views of genome-wide experimental measurements for multiple samples alongside their associat...

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Detalles Bibliográficos
Autores principales: Sanborn, J. Zachary, Benz, Stephen C., Craft, Brian, Szeto, Christopher, Kober, Kord M., Meyer, Laurence, Vaske, Charles J., Goldman, Mary, Smith, Kayla E., Kuhn, Robert M., Karolchik, Donna, Kent, W. James, Stuart, Joshua M., Haussler, David, Zhu, Jingchun
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013705/
https://www.ncbi.nlm.nih.gov/pubmed/21059681
http://dx.doi.org/10.1093/nar/gkq1113
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author Sanborn, J. Zachary
Benz, Stephen C.
Craft, Brian
Szeto, Christopher
Kober, Kord M.
Meyer, Laurence
Vaske, Charles J.
Goldman, Mary
Smith, Kayla E.
Kuhn, Robert M.
Karolchik, Donna
Kent, W. James
Stuart, Joshua M.
Haussler, David
Zhu, Jingchun
author_facet Sanborn, J. Zachary
Benz, Stephen C.
Craft, Brian
Szeto, Christopher
Kober, Kord M.
Meyer, Laurence
Vaske, Charles J.
Goldman, Mary
Smith, Kayla E.
Kuhn, Robert M.
Karolchik, Donna
Kent, W. James
Stuart, Joshua M.
Haussler, David
Zhu, Jingchun
author_sort Sanborn, J. Zachary
collection PubMed
description The UCSC Cancer Genomics Browser (https://genome-cancer.ucsc.edu) comprises a suite of web-based tools to integrate, visualize and analyze cancer genomics and clinical data. The browser displays whole-genome views of genome-wide experimental measurements for multiple samples alongside their associated clinical information. Multiple data sets can be viewed simultaneously as coordinated ‘heatmap tracks’ to compare across studies or different data modalities. Users can order, filter, aggregate, classify and display data interactively based on any given feature set including clinical features, annotated biological pathways and user-contributed collections of genes. Integrated standard statistical tools provide dynamic quantitative analysis within all available data sets. The browser hosts a growing body of publicly available cancer genomics data from a variety of cancer types, including data generated from the Cancer Genome Atlas project. Multiple consortiums use the browser on confidential prepublication data enabled by private installations. Many new features have been added, including the hgMicroscope tumor image viewer, hgSignature for real-time genomic signature evaluation on any browser track, and ‘PARADIGM’ pathway tracks to display integrative pathway activities. The browser is integrated with the UCSC Genome Browser; thus inheriting and integrating the Genome Browser’s rich set of human biology and genetics data that enhances the interpretability of the cancer genomics data.
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spelling pubmed-30137052011-01-03 The UCSC cancer genomics browser: update 2011 Sanborn, J. Zachary Benz, Stephen C. Craft, Brian Szeto, Christopher Kober, Kord M. Meyer, Laurence Vaske, Charles J. Goldman, Mary Smith, Kayla E. Kuhn, Robert M. Karolchik, Donna Kent, W. James Stuart, Joshua M. Haussler, David Zhu, Jingchun Nucleic Acids Res Articles The UCSC Cancer Genomics Browser (https://genome-cancer.ucsc.edu) comprises a suite of web-based tools to integrate, visualize and analyze cancer genomics and clinical data. The browser displays whole-genome views of genome-wide experimental measurements for multiple samples alongside their associated clinical information. Multiple data sets can be viewed simultaneously as coordinated ‘heatmap tracks’ to compare across studies or different data modalities. Users can order, filter, aggregate, classify and display data interactively based on any given feature set including clinical features, annotated biological pathways and user-contributed collections of genes. Integrated standard statistical tools provide dynamic quantitative analysis within all available data sets. The browser hosts a growing body of publicly available cancer genomics data from a variety of cancer types, including data generated from the Cancer Genome Atlas project. Multiple consortiums use the browser on confidential prepublication data enabled by private installations. Many new features have been added, including the hgMicroscope tumor image viewer, hgSignature for real-time genomic signature evaluation on any browser track, and ‘PARADIGM’ pathway tracks to display integrative pathway activities. The browser is integrated with the UCSC Genome Browser; thus inheriting and integrating the Genome Browser’s rich set of human biology and genetics data that enhances the interpretability of the cancer genomics data. Oxford University Press 2011-01 2010-11-08 /pmc/articles/PMC3013705/ /pubmed/21059681 http://dx.doi.org/10.1093/nar/gkq1113 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Sanborn, J. Zachary
Benz, Stephen C.
Craft, Brian
Szeto, Christopher
Kober, Kord M.
Meyer, Laurence
Vaske, Charles J.
Goldman, Mary
Smith, Kayla E.
Kuhn, Robert M.
Karolchik, Donna
Kent, W. James
Stuart, Joshua M.
Haussler, David
Zhu, Jingchun
The UCSC cancer genomics browser: update 2011
title The UCSC cancer genomics browser: update 2011
title_full The UCSC cancer genomics browser: update 2011
title_fullStr The UCSC cancer genomics browser: update 2011
title_full_unstemmed The UCSC cancer genomics browser: update 2011
title_short The UCSC cancer genomics browser: update 2011
title_sort ucsc cancer genomics browser: update 2011
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013705/
https://www.ncbi.nlm.nih.gov/pubmed/21059681
http://dx.doi.org/10.1093/nar/gkq1113
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