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International Cancer Genome Consortium Data Portal—a one-stop shop for cancer genomics data
The International Cancer Genome Consortium (ICGC) is a collaborative effort to characterize genomic abnormalities in 50 different cancer types. To make this data available, the ICGC has created the ICGC Data Portal. Powered by the BioMart software, the Data Portal allows each ICGC member institution...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3263593/ https://www.ncbi.nlm.nih.gov/pubmed/21930502 http://dx.doi.org/10.1093/database/bar026 |
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author | Zhang, Junjun Baran, Joachim Cros, A. Guberman, Jonathan M. Haider, Syed Hsu, Jack Liang, Yong Rivkin, Elena Wang, Jianxin Whitty, Brett Wong-Erasmus, Marie Yao, Long Kasprzyk, Arek |
author_facet | Zhang, Junjun Baran, Joachim Cros, A. Guberman, Jonathan M. Haider, Syed Hsu, Jack Liang, Yong Rivkin, Elena Wang, Jianxin Whitty, Brett Wong-Erasmus, Marie Yao, Long Kasprzyk, Arek |
author_sort | Zhang, Junjun |
collection | PubMed |
description | The International Cancer Genome Consortium (ICGC) is a collaborative effort to characterize genomic abnormalities in 50 different cancer types. To make this data available, the ICGC has created the ICGC Data Portal. Powered by the BioMart software, the Data Portal allows each ICGC member institution to manage and maintain its own databases locally, while seamlessly presenting all the data in a single access point for users. The Data Portal currently contains data from 24 cancer projects, including ICGC, The Cancer Genome Atlas (TCGA), Johns Hopkins University, and the Tumor Sequencing Project. It consists of 3478 genomes and 13 cancer types and subtypes. Available open access data types include simple somatic mutations, copy number alterations, structural rearrangements, gene expression, microRNAs, DNA methylation and exon junctions. Additionally, simple germline variations are available as controlled access data. The Data Portal uses a web-based graphical user interface (GUI) to offer researchers multiple ways to quickly and easily search and analyze the available data. The web interface can assist in constructing complicated queries across multiple data sets. Several application programming interfaces are also available for programmatic access. Here we describe the organization, functionality, and capabilities of the ICGC Data Portal. Database URL: http://dcc.icgc.org |
format | Online Article Text |
id | pubmed-3263593 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-32635932012-01-23 International Cancer Genome Consortium Data Portal—a one-stop shop for cancer genomics data Zhang, Junjun Baran, Joachim Cros, A. Guberman, Jonathan M. Haider, Syed Hsu, Jack Liang, Yong Rivkin, Elena Wang, Jianxin Whitty, Brett Wong-Erasmus, Marie Yao, Long Kasprzyk, Arek Database (Oxford) Original Article The International Cancer Genome Consortium (ICGC) is a collaborative effort to characterize genomic abnormalities in 50 different cancer types. To make this data available, the ICGC has created the ICGC Data Portal. Powered by the BioMart software, the Data Portal allows each ICGC member institution to manage and maintain its own databases locally, while seamlessly presenting all the data in a single access point for users. The Data Portal currently contains data from 24 cancer projects, including ICGC, The Cancer Genome Atlas (TCGA), Johns Hopkins University, and the Tumor Sequencing Project. It consists of 3478 genomes and 13 cancer types and subtypes. Available open access data types include simple somatic mutations, copy number alterations, structural rearrangements, gene expression, microRNAs, DNA methylation and exon junctions. Additionally, simple germline variations are available as controlled access data. The Data Portal uses a web-based graphical user interface (GUI) to offer researchers multiple ways to quickly and easily search and analyze the available data. The web interface can assist in constructing complicated queries across multiple data sets. Several application programming interfaces are also available for programmatic access. Here we describe the organization, functionality, and capabilities of the ICGC Data Portal. Database URL: http://dcc.icgc.org Oxford University Press 2011-09-16 /pmc/articles/PMC3263593/ /pubmed/21930502 http://dx.doi.org/10.1093/database/bar026 Text en © The Author(s) 2011. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is 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 | Original Article Zhang, Junjun Baran, Joachim Cros, A. Guberman, Jonathan M. Haider, Syed Hsu, Jack Liang, Yong Rivkin, Elena Wang, Jianxin Whitty, Brett Wong-Erasmus, Marie Yao, Long Kasprzyk, Arek International Cancer Genome Consortium Data Portal—a one-stop shop for cancer genomics data |
title | International Cancer Genome Consortium Data Portal—a one-stop shop for cancer genomics data |
title_full | International Cancer Genome Consortium Data Portal—a one-stop shop for cancer genomics data |
title_fullStr | International Cancer Genome Consortium Data Portal—a one-stop shop for cancer genomics data |
title_full_unstemmed | International Cancer Genome Consortium Data Portal—a one-stop shop for cancer genomics data |
title_short | International Cancer Genome Consortium Data Portal—a one-stop shop for cancer genomics data |
title_sort | international cancer genome consortium data portal—a one-stop shop for cancer genomics data |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3263593/ https://www.ncbi.nlm.nih.gov/pubmed/21930502 http://dx.doi.org/10.1093/database/bar026 |
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