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The Roche Cancer Genome Database 2.0
BACKGROUND: 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. DESCRIPTION: We have construct...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3114700/ https://www.ncbi.nlm.nih.gov/pubmed/21586118 http://dx.doi.org/10.1186/1755-8794-4-43 |
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author | Küntzer, Jan Maisel, Daniela Lenhof, Hans-Peter Klostermann, Stefan Burtscher, Helmut |
author_facet | Küntzer, Jan Maisel, Daniela Lenhof, Hans-Peter Klostermann, Stefan Burtscher, Helmut |
author_sort | Küntzer, Jan |
collection | PubMed |
description | BACKGROUND: 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. DESCRIPTION: 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. 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. CONCLUSION: 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 http://rcgdb.bioinf.uni-sb.de/MutomeWeb/. |
format | Online Article Text |
id | pubmed-3114700 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-31147002011-06-15 The Roche Cancer Genome Database 2.0 Küntzer, Jan Maisel, Daniela Lenhof, Hans-Peter Klostermann, Stefan Burtscher, Helmut BMC Med Genomics Database BACKGROUND: 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. DESCRIPTION: 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. 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. CONCLUSION: 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 http://rcgdb.bioinf.uni-sb.de/MutomeWeb/. BioMed Central 2011-05-17 /pmc/articles/PMC3114700/ /pubmed/21586118 http://dx.doi.org/10.1186/1755-8794-4-43 Text en Copyright ©2011 Küntzer et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Küntzer, Jan Maisel, Daniela Lenhof, Hans-Peter Klostermann, Stefan Burtscher, Helmut The Roche Cancer Genome Database 2.0 |
title | 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_short | The Roche Cancer Genome Database 2.0 |
title_sort | roche cancer genome database 2.0 |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3114700/ https://www.ncbi.nlm.nih.gov/pubmed/21586118 http://dx.doi.org/10.1186/1755-8794-4-43 |
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