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Web-TCGA: an online platform for integrated analysis of molecular cancer data sets
BACKGROUND: The Cancer Genome Atlas (TCGA) is a pool of molecular data sets publicly accessible and freely available to cancer researchers anywhere around the world. However, wide spread use is limited since an advanced knowledge of statistics and statistical software is required. RESULTS: In order...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4744375/ https://www.ncbi.nlm.nih.gov/pubmed/26852330 http://dx.doi.org/10.1186/s12859-016-0917-9 |
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author | Deng, Mario Brägelmann, Johannes Schultze, Joachim L. Perner, Sven |
author_facet | Deng, Mario Brägelmann, Johannes Schultze, Joachim L. Perner, Sven |
author_sort | Deng, Mario |
collection | PubMed |
description | BACKGROUND: The Cancer Genome Atlas (TCGA) is a pool of molecular data sets publicly accessible and freely available to cancer researchers anywhere around the world. However, wide spread use is limited since an advanced knowledge of statistics and statistical software is required. RESULTS: In order to improve accessibility we created Web-TCGA, a web based, freely accessible online tool, which can also be run in a private instance, for integrated analysis of molecular cancer data sets provided by TCGA. In contrast to already available tools, Web-TCGA utilizes different methods for analysis and visualization of TCGA data, allowing users to generate global molecular profiles across different cancer entities simultaneously. In addition to global molecular profiles, Web-TCGA offers highly detailed gene and tumor entity centric analysis by providing interactive tables and views. CONCLUSIONS: As a supplement to other already available tools, such as cBioPortal (Sci Signal 6:pl1, 2013, Cancer Discov 2:401–4, 2012), Web-TCGA is offering an analysis service, which does not require any installation or configuration, for molecular data sets available at the TCGA. Individual processing requests (queries) are generated by the user for mutation, methylation, expression and copy number variation (CNV) analyses. The user can focus analyses on results from single genes and cancer entities or perform a global analysis (multiple cancer entities and genes simultaneously). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-016-0917-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4744375 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-47443752016-02-07 Web-TCGA: an online platform for integrated analysis of molecular cancer data sets Deng, Mario Brägelmann, Johannes Schultze, Joachim L. Perner, Sven BMC Bioinformatics Software BACKGROUND: The Cancer Genome Atlas (TCGA) is a pool of molecular data sets publicly accessible and freely available to cancer researchers anywhere around the world. However, wide spread use is limited since an advanced knowledge of statistics and statistical software is required. RESULTS: In order to improve accessibility we created Web-TCGA, a web based, freely accessible online tool, which can also be run in a private instance, for integrated analysis of molecular cancer data sets provided by TCGA. In contrast to already available tools, Web-TCGA utilizes different methods for analysis and visualization of TCGA data, allowing users to generate global molecular profiles across different cancer entities simultaneously. In addition to global molecular profiles, Web-TCGA offers highly detailed gene and tumor entity centric analysis by providing interactive tables and views. CONCLUSIONS: As a supplement to other already available tools, such as cBioPortal (Sci Signal 6:pl1, 2013, Cancer Discov 2:401–4, 2012), Web-TCGA is offering an analysis service, which does not require any installation or configuration, for molecular data sets available at the TCGA. Individual processing requests (queries) are generated by the user for mutation, methylation, expression and copy number variation (CNV) analyses. The user can focus analyses on results from single genes and cancer entities or perform a global analysis (multiple cancer entities and genes simultaneously). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-016-0917-9) contains supplementary material, which is available to authorized users. BioMed Central 2016-02-06 /pmc/articles/PMC4744375/ /pubmed/26852330 http://dx.doi.org/10.1186/s12859-016-0917-9 Text en © Deng et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Deng, Mario Brägelmann, Johannes Schultze, Joachim L. Perner, Sven Web-TCGA: an online platform for integrated analysis of molecular cancer data sets |
title | Web-TCGA: an online platform for integrated analysis of molecular cancer data sets |
title_full | Web-TCGA: an online platform for integrated analysis of molecular cancer data sets |
title_fullStr | Web-TCGA: an online platform for integrated analysis of molecular cancer data sets |
title_full_unstemmed | Web-TCGA: an online platform for integrated analysis of molecular cancer data sets |
title_short | Web-TCGA: an online platform for integrated analysis of molecular cancer data sets |
title_sort | web-tcga: an online platform for integrated analysis of molecular cancer data sets |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4744375/ https://www.ncbi.nlm.nih.gov/pubmed/26852330 http://dx.doi.org/10.1186/s12859-016-0917-9 |
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