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BBCAnalyzer: a visual approach to facilitate variant calling
BACKGROUND: Deriving valid variant calling results from raw next-generation sequencing data is a particularly challenging task, especially with respect to clinical diagnostics and personalized medicine. However, when using classic variant calling software, the user usually obtains nothing more than...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5330023/ https://www.ncbi.nlm.nih.gov/pubmed/28241736 http://dx.doi.org/10.1186/s12859-017-1549-4 |
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author | Sandmann, Sarah de Graaf, Aniek O. Dugas, Martin |
author_facet | Sandmann, Sarah de Graaf, Aniek O. Dugas, Martin |
author_sort | Sandmann, Sarah |
collection | PubMed |
description | BACKGROUND: Deriving valid variant calling results from raw next-generation sequencing data is a particularly challenging task, especially with respect to clinical diagnostics and personalized medicine. However, when using classic variant calling software, the user usually obtains nothing more than a list of variants that pass the corresponding caller’s internal filters. Any expected mutations (e.g. hotspot mutations), that have not been called by the software, need to be investigated manually. RESULTS: BBCAnalyzer (Bases By CIGAR Analyzer) provides a novel visual approach to facilitate this step of time-consuming, manual inspection of common mutation sites. BBCAnalyzer is able to visualize base counts at predefined positions or regions in any sequence alignment data that are available as BAM files. Thereby, the tool provides a straightforward solution for evaluating any list of expected mutations like hotspot mutations, or even whole regions of interest. In addition to an ordinary textual report, BBCAnalyzer reports highly customizable plots. Information on the counted number of bases, the reference bases, known mutations or polymorphisms, called mutations and base qualities is summarized in a single plot. By uniting this information in a graphical way, the user may easily decide on a variant being present or not – completely independent of any internal filters or frequency thresholds. CONCLUSIONS: BBCAnalyzer provides a unique, novel approach to facilitate variant calling where classical tools frequently fail to call. The R package is freely available at http://bioconductor.org. The local web application is available at Additional file 2. A documentation of the R package (Additional file 1) as well as the web application (Additional file 2) with detailed descriptions, examples of all input- and output elements, exemplary code as well as exemplary data are included. A video demonstrates the exemplary usage of the local web application (Additional file 3). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-017-1549-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5330023 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-53300232017-03-03 BBCAnalyzer: a visual approach to facilitate variant calling Sandmann, Sarah de Graaf, Aniek O. Dugas, Martin BMC Bioinformatics Software BACKGROUND: Deriving valid variant calling results from raw next-generation sequencing data is a particularly challenging task, especially with respect to clinical diagnostics and personalized medicine. However, when using classic variant calling software, the user usually obtains nothing more than a list of variants that pass the corresponding caller’s internal filters. Any expected mutations (e.g. hotspot mutations), that have not been called by the software, need to be investigated manually. RESULTS: BBCAnalyzer (Bases By CIGAR Analyzer) provides a novel visual approach to facilitate this step of time-consuming, manual inspection of common mutation sites. BBCAnalyzer is able to visualize base counts at predefined positions or regions in any sequence alignment data that are available as BAM files. Thereby, the tool provides a straightforward solution for evaluating any list of expected mutations like hotspot mutations, or even whole regions of interest. In addition to an ordinary textual report, BBCAnalyzer reports highly customizable plots. Information on the counted number of bases, the reference bases, known mutations or polymorphisms, called mutations and base qualities is summarized in a single plot. By uniting this information in a graphical way, the user may easily decide on a variant being present or not – completely independent of any internal filters or frequency thresholds. CONCLUSIONS: BBCAnalyzer provides a unique, novel approach to facilitate variant calling where classical tools frequently fail to call. The R package is freely available at http://bioconductor.org. The local web application is available at Additional file 2. A documentation of the R package (Additional file 1) as well as the web application (Additional file 2) with detailed descriptions, examples of all input- and output elements, exemplary code as well as exemplary data are included. A video demonstrates the exemplary usage of the local web application (Additional file 3). ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-017-1549-4) contains supplementary material, which is available to authorized users. BioMed Central 2017-02-28 /pmc/articles/PMC5330023/ /pubmed/28241736 http://dx.doi.org/10.1186/s12859-017-1549-4 Text en © The Author(s) 2017 Open Access This 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 Sandmann, Sarah de Graaf, Aniek O. Dugas, Martin BBCAnalyzer: a visual approach to facilitate variant calling |
title | BBCAnalyzer: a visual approach to facilitate variant calling |
title_full | BBCAnalyzer: a visual approach to facilitate variant calling |
title_fullStr | BBCAnalyzer: a visual approach to facilitate variant calling |
title_full_unstemmed | BBCAnalyzer: a visual approach to facilitate variant calling |
title_short | BBCAnalyzer: a visual approach to facilitate variant calling |
title_sort | bbcanalyzer: a visual approach to facilitate variant calling |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5330023/ https://www.ncbi.nlm.nih.gov/pubmed/28241736 http://dx.doi.org/10.1186/s12859-017-1549-4 |
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