The Roche Cancer Genome Database 2.0

<p>Abstract</p> <p>Background</p> <p>Cancer is a disease of genome alterations that arise through the acquisition of multiple somatic DNA sequence mutations. Some of these mutations can be critical for the development of a tumor and can be useful to characterize tumor t...

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Main Authors: Klostermann Stefan, Lenhof Hans-Peter, Maisel Daniela, Küntzer Jan, Burtscher Helmut
Format: Article
Language:English
Published: BMC 2011-05-01
Series:BMC Medical Genomics
Online Access:http://www.biomedcentral.com/1755-8794/4/43
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spelling doaj-6065a48f81184fd8896dd7bb0830573d2021-04-02T09:49:01ZengBMCBMC Medical Genomics1755-87942011-05-01414310.1186/1755-8794-4-43The Roche Cancer Genome Database 2.0Klostermann StefanLenhof Hans-PeterMaisel DanielaKüntzer JanBurtscher Helmut<p>Abstract</p> <p>Background</p> <p>Cancer is a disease of genome alterations that arise through the acquisition of multiple somatic DNA sequence mutations. Some of these mutations can be critical for the development of a tumor and can be useful to characterize tumor types or predict outcome.</p> <p>Description</p> <p>We have constructed an integrated biological information system termed the Roche Cancer Genome Database (RCGDB) combining different human mutation databases already publicly available. This data is further extended by hand-curated information from publications.</p> <p>The current version of the RCGDB provides a user-friendly graphical interface that gives access to the data in different ways: (1) Single interactive search by genes, samples, cell lines, diseases, as well as pathways, (2) batch searches for genes and cell lines, (3) customized searches for regularly occurring requests, and (4) an advanced query interface enabling the user to query for samples and mutations by various filter criteria.</p> <p>Conclusion</p> <p>The interfaces of the presented database enable the user to search and view mutations in an intuitive and straight-forward manner. The database is freely accessible at <url>http://rcgdb.bioinf.uni-sb.de/MutomeWeb/</url>.</p> http://www.biomedcentral.com/1755-8794/4/43
collection DOAJ
language English
format Article
sources DOAJ
author Klostermann Stefan
Lenhof Hans-Peter
Maisel Daniela
Küntzer Jan
Burtscher Helmut
spellingShingle Klostermann Stefan
Lenhof Hans-Peter
Maisel Daniela
Küntzer Jan
Burtscher Helmut
The Roche Cancer Genome Database 2.0
BMC Medical Genomics
author_facet Klostermann Stefan
Lenhof Hans-Peter
Maisel Daniela
Küntzer Jan
Burtscher Helmut
author_sort Klostermann Stefan
title The Roche Cancer Genome Database 2.0
title_short The Roche Cancer Genome Database 2.0
title_full The Roche Cancer Genome Database 2.0
title_fullStr The Roche Cancer Genome Database 2.0
title_full_unstemmed The Roche Cancer Genome Database 2.0
title_sort roche cancer genome database 2.0
publisher BMC
series BMC Medical Genomics
issn 1755-8794
publishDate 2011-05-01
description <p>Abstract</p> <p>Background</p> <p>Cancer is a disease of genome alterations that arise through the acquisition of multiple somatic DNA sequence mutations. Some of these mutations can be critical for the development of a tumor and can be useful to characterize tumor types or predict outcome.</p> <p>Description</p> <p>We have constructed an integrated biological information system termed the Roche Cancer Genome Database (RCGDB) combining different human mutation databases already publicly available. This data is further extended by hand-curated information from publications.</p> <p>The current version of the RCGDB provides a user-friendly graphical interface that gives access to the data in different ways: (1) Single interactive search by genes, samples, cell lines, diseases, as well as pathways, (2) batch searches for genes and cell lines, (3) customized searches for regularly occurring requests, and (4) an advanced query interface enabling the user to query for samples and mutations by various filter criteria.</p> <p>Conclusion</p> <p>The interfaces of the presented database enable the user to search and view mutations in an intuitive and straight-forward manner. The database is freely accessible at <url>http://rcgdb.bioinf.uni-sb.de/MutomeWeb/</url>.</p>
url http://www.biomedcentral.com/1755-8794/4/43
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