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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...

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Autores principales: Gauthier, Nicholas Paul, Reznik, Ed, Gao, Jianjiong, Sumer, Selcuk Onur, Schultz, Nikolaus, Sander, Chris, Miller, Martin L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
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.
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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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