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A user guide for the online exploration and visualization of PCAWG data

The Pan-Cancer Analysis of Whole Genomes (PCAWG) project generated a vast amount of whole-genome cancer sequencing resource data. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumor ty...

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Autores principales: Goldman, Mary J., Zhang, Junjun, Fonseca, Nuno A., Cortés-Ciriano, Isidro, Xiang, Qian, Craft, Brian, Piñeiro-Yáñez, Elena, O’Connor, Brian D., Bazant, Wojciech, Barrera, Elisabet, Muñoz-Pomer, Alfonso, Petryszak, Robert, Füllgrabe, Anja, Al-Shahrour, Fatima, Keays, Maria, Haussler, David, Weinstein, John N., Huber, Wolfgang, Valencia, Alfonso, Park, Peter J., Papatheodorou, Irene, Zhu, Jingchun, Ferretti, Vincent, Vazquez, Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7340791/
https://www.ncbi.nlm.nih.gov/pubmed/32636365
http://dx.doi.org/10.1038/s41467-020-16785-6
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author Goldman, Mary J.
Zhang, Junjun
Fonseca, Nuno A.
Cortés-Ciriano, Isidro
Xiang, Qian
Craft, Brian
Piñeiro-Yáñez, Elena
O’Connor, Brian D.
Bazant, Wojciech
Barrera, Elisabet
Muñoz-Pomer, Alfonso
Petryszak, Robert
Füllgrabe, Anja
Al-Shahrour, Fatima
Keays, Maria
Haussler, David
Weinstein, John N.
Huber, Wolfgang
Valencia, Alfonso
Park, Peter J.
Papatheodorou, Irene
Zhu, Jingchun
Ferretti, Vincent
Vazquez, Miguel
author_facet Goldman, Mary J.
Zhang, Junjun
Fonseca, Nuno A.
Cortés-Ciriano, Isidro
Xiang, Qian
Craft, Brian
Piñeiro-Yáñez, Elena
O’Connor, Brian D.
Bazant, Wojciech
Barrera, Elisabet
Muñoz-Pomer, Alfonso
Petryszak, Robert
Füllgrabe, Anja
Al-Shahrour, Fatima
Keays, Maria
Haussler, David
Weinstein, John N.
Huber, Wolfgang
Valencia, Alfonso
Park, Peter J.
Papatheodorou, Irene
Zhu, Jingchun
Ferretti, Vincent
Vazquez, Miguel
author_sort Goldman, Mary J.
collection PubMed
description The Pan-Cancer Analysis of Whole Genomes (PCAWG) project generated a vast amount of whole-genome cancer sequencing resource data. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumor types, we provide a user’s guide to the five publicly available online data exploration and visualization tools introduced in the PCAWG marker paper. These tools are ICGC Data Portal, UCSC Xena, Chromothripsis Explorer, Expression Atlas, and PCAWG-Scout. We detail use cases and analyses for each tool, show how they incorporate outside resources from the larger genomics ecosystem, and demonstrate how the tools can be used together to understand the biology of cancers more deeply. Together, the tools enable researchers to query the complex genomic PCAWG data dynamically and integrate external information, enabling and enhancing interpretation.
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spelling pubmed-73407912020-07-09 A user guide for the online exploration and visualization of PCAWG data Goldman, Mary J. Zhang, Junjun Fonseca, Nuno A. Cortés-Ciriano, Isidro Xiang, Qian Craft, Brian Piñeiro-Yáñez, Elena O’Connor, Brian D. Bazant, Wojciech Barrera, Elisabet Muñoz-Pomer, Alfonso Petryszak, Robert Füllgrabe, Anja Al-Shahrour, Fatima Keays, Maria Haussler, David Weinstein, John N. Huber, Wolfgang Valencia, Alfonso Park, Peter J. Papatheodorou, Irene Zhu, Jingchun Ferretti, Vincent Vazquez, Miguel Nat Commun Article The Pan-Cancer Analysis of Whole Genomes (PCAWG) project generated a vast amount of whole-genome cancer sequencing resource data. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumor types, we provide a user’s guide to the five publicly available online data exploration and visualization tools introduced in the PCAWG marker paper. These tools are ICGC Data Portal, UCSC Xena, Chromothripsis Explorer, Expression Atlas, and PCAWG-Scout. We detail use cases and analyses for each tool, show how they incorporate outside resources from the larger genomics ecosystem, and demonstrate how the tools can be used together to understand the biology of cancers more deeply. Together, the tools enable researchers to query the complex genomic PCAWG data dynamically and integrate external information, enabling and enhancing interpretation. Nature Publishing Group UK 2020-07-07 /pmc/articles/PMC7340791/ /pubmed/32636365 http://dx.doi.org/10.1038/s41467-020-16785-6 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Goldman, Mary J.
Zhang, Junjun
Fonseca, Nuno A.
Cortés-Ciriano, Isidro
Xiang, Qian
Craft, Brian
Piñeiro-Yáñez, Elena
O’Connor, Brian D.
Bazant, Wojciech
Barrera, Elisabet
Muñoz-Pomer, Alfonso
Petryszak, Robert
Füllgrabe, Anja
Al-Shahrour, Fatima
Keays, Maria
Haussler, David
Weinstein, John N.
Huber, Wolfgang
Valencia, Alfonso
Park, Peter J.
Papatheodorou, Irene
Zhu, Jingchun
Ferretti, Vincent
Vazquez, Miguel
A user guide for the online exploration and visualization of PCAWG data
title A user guide for the online exploration and visualization of PCAWG data
title_full A user guide for the online exploration and visualization of PCAWG data
title_fullStr A user guide for the online exploration and visualization of PCAWG data
title_full_unstemmed A user guide for the online exploration and visualization of PCAWG data
title_short A user guide for the online exploration and visualization of PCAWG data
title_sort user guide for the online exploration and visualization of pcawg data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7340791/
https://www.ncbi.nlm.nih.gov/pubmed/32636365
http://dx.doi.org/10.1038/s41467-020-16785-6
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