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SMuRF: a novel tool to identify regulatory elements enriched for somatic point mutations
BACKGROUND: Single Nucleotide Variants (SNVs), including somatic point mutations and Single Nucleotide Polymorphisms (SNPs), in noncoding cis-regulatory elements (CREs) can affect gene regulation and lead to disease development. Several approaches have been developed to identify highly mutated regio...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258448/ https://www.ncbi.nlm.nih.gov/pubmed/30477433 http://dx.doi.org/10.1186/s12859-018-2501-y |
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author | Guilhamon, Paul Lupien, Mathieu |
author_facet | Guilhamon, Paul Lupien, Mathieu |
author_sort | Guilhamon, Paul |
collection | PubMed |
description | BACKGROUND: Single Nucleotide Variants (SNVs), including somatic point mutations and Single Nucleotide Polymorphisms (SNPs), in noncoding cis-regulatory elements (CREs) can affect gene regulation and lead to disease development. Several approaches have been developed to identify highly mutated regions, but these do not take into account the specific genomic context, and thus likelihood of mutation, of CREs. RESULTS: Here, we present SMuRF (Significantly Mutated Region Finder), a user-friendly command-line tool to identify these significantly mutated regions from user-defined genomic intervals and SNVs. We demonstrate this using publicly available datasets in which SMuRF identifies 72 significantly mutated CREs in liver cancer, including known mutated gene promoters as well as previously unreported regions. CONCLUSIONS: SMuRF is a helpful tool to allow the simple identification of significantly mutated regulatory elements. It is open-source and freely available on GitHub (https://github.com/LupienLab/SMURF). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-018-2501-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6258448 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62584482018-11-29 SMuRF: a novel tool to identify regulatory elements enriched for somatic point mutations Guilhamon, Paul Lupien, Mathieu BMC Bioinformatics Software BACKGROUND: Single Nucleotide Variants (SNVs), including somatic point mutations and Single Nucleotide Polymorphisms (SNPs), in noncoding cis-regulatory elements (CREs) can affect gene regulation and lead to disease development. Several approaches have been developed to identify highly mutated regions, but these do not take into account the specific genomic context, and thus likelihood of mutation, of CREs. RESULTS: Here, we present SMuRF (Significantly Mutated Region Finder), a user-friendly command-line tool to identify these significantly mutated regions from user-defined genomic intervals and SNVs. We demonstrate this using publicly available datasets in which SMuRF identifies 72 significantly mutated CREs in liver cancer, including known mutated gene promoters as well as previously unreported regions. CONCLUSIONS: SMuRF is a helpful tool to allow the simple identification of significantly mutated regulatory elements. It is open-source and freely available on GitHub (https://github.com/LupienLab/SMURF). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12859-018-2501-y) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-26 /pmc/articles/PMC6258448/ /pubmed/30477433 http://dx.doi.org/10.1186/s12859-018-2501-y Text en © The Author(s). 2018 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 Guilhamon, Paul Lupien, Mathieu SMuRF: a novel tool to identify regulatory elements enriched for somatic point mutations |
title | SMuRF: a novel tool to identify regulatory elements enriched for somatic point mutations |
title_full | SMuRF: a novel tool to identify regulatory elements enriched for somatic point mutations |
title_fullStr | SMuRF: a novel tool to identify regulatory elements enriched for somatic point mutations |
title_full_unstemmed | SMuRF: a novel tool to identify regulatory elements enriched for somatic point mutations |
title_short | SMuRF: a novel tool to identify regulatory elements enriched for somatic point mutations |
title_sort | smurf: a novel tool to identify regulatory elements enriched for somatic point mutations |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6258448/ https://www.ncbi.nlm.nih.gov/pubmed/30477433 http://dx.doi.org/10.1186/s12859-018-2501-y |
work_keys_str_mv | AT guilhamonpaul smurfanoveltooltoidentifyregulatoryelementsenrichedforsomaticpointmutations AT lupienmathieu smurfanoveltooltoidentifyregulatoryelementsenrichedforsomaticpointmutations |