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MutationAligner: a resource of recurrent mutation hotspots in protein domains in cancer
The MutationAligner web resource, available at http://www.mutationaligner.org, enables discovery and exploration of somatic mutation hotspots identified in protein domains in currently (mid-2015) more than 5000 cancer patient samples across 22 different tumor types. Using multiple sequence alignment...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702822/ https://www.ncbi.nlm.nih.gov/pubmed/26590264 http://dx.doi.org/10.1093/nar/gkv1132 |
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author | Gauthier, Nicholas Paul Reznik, Ed Gao, Jianjiong Sumer, Selcuk Onur Schultz, Nikolaus Sander, Chris Miller, Martin L. |
author_facet | Gauthier, Nicholas Paul Reznik, Ed Gao, Jianjiong Sumer, Selcuk Onur Schultz, Nikolaus Sander, Chris Miller, Martin L. |
author_sort | Gauthier, Nicholas Paul |
collection | PubMed |
description | The MutationAligner web resource, available at http://www.mutationaligner.org, enables discovery and exploration of somatic mutation hotspots identified in protein domains in currently (mid-2015) more than 5000 cancer patient samples across 22 different tumor types. Using multiple sequence alignments of protein domains in the human genome, we extend the principle of recurrence analysis by aggregating mutations in homologous positions across sets of paralogous genes. Protein domain analysis enhances the statistical power to detect cancer-relevant mutations and links mutations to the specific biological functions encoded in domains. We illustrate how the MutationAligner database and interactive web tool can be used to explore, visualize and analyze mutation hotspots in protein domains across genes and tumor types. We believe that MutationAligner will be an important resource for the cancer research community by providing detailed clues for the functional importance of particular mutations, as well as for the design of functional genomics experiments and for decision support in precision medicine. MutationAligner is slated to be periodically updated to incorporate additional analyses and new data from cancer genomics projects. |
format | Online Article Text |
id | pubmed-4702822 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-47028222016-01-07 MutationAligner: a resource of recurrent mutation hotspots in protein domains in cancer Gauthier, Nicholas Paul Reznik, Ed Gao, Jianjiong Sumer, Selcuk Onur Schultz, Nikolaus Sander, Chris Miller, Martin L. Nucleic Acids Res Database Issue The MutationAligner web resource, available at http://www.mutationaligner.org, enables discovery and exploration of somatic mutation hotspots identified in protein domains in currently (mid-2015) more than 5000 cancer patient samples across 22 different tumor types. Using multiple sequence alignments of protein domains in the human genome, we extend the principle of recurrence analysis by aggregating mutations in homologous positions across sets of paralogous genes. Protein domain analysis enhances the statistical power to detect cancer-relevant mutations and links mutations to the specific biological functions encoded in domains. We illustrate how the MutationAligner database and interactive web tool can be used to explore, visualize and analyze mutation hotspots in protein domains across genes and tumor types. We believe that MutationAligner will be an important resource for the cancer research community by providing detailed clues for the functional importance of particular mutations, as well as for the design of functional genomics experiments and for decision support in precision medicine. MutationAligner is slated to be periodically updated to incorporate additional analyses and new data from cancer genomics projects. Oxford University Press 2016-01-04 2015-11-20 /pmc/articles/PMC4702822/ /pubmed/26590264 http://dx.doi.org/10.1093/nar/gkv1132 Text en © The Author(s) 2015. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Gauthier, Nicholas Paul Reznik, Ed Gao, Jianjiong Sumer, Selcuk Onur Schultz, Nikolaus Sander, Chris Miller, Martin L. MutationAligner: a resource of recurrent mutation hotspots in protein domains in cancer |
title | MutationAligner: a resource of recurrent mutation hotspots in protein domains in cancer |
title_full | MutationAligner: a resource of recurrent mutation hotspots in protein domains in cancer |
title_fullStr | MutationAligner: a resource of recurrent mutation hotspots in protein domains in cancer |
title_full_unstemmed | MutationAligner: a resource of recurrent mutation hotspots in protein domains in cancer |
title_short | MutationAligner: a resource of recurrent mutation hotspots in protein domains in cancer |
title_sort | mutationaligner: a resource of recurrent mutation hotspots in protein domains in cancer |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4702822/ https://www.ncbi.nlm.nih.gov/pubmed/26590264 http://dx.doi.org/10.1093/nar/gkv1132 |
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