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BrowseVCF: a web-based application and workflow to quickly prioritize disease-causative variants in VCF files
Following variant calling and annotation, accurate variant filtering is a crucial step to extract meaningful information from sequencing data and to investigate disease aetiology. However, the variant call format (VCF) used to store this information is not easy to handle for non-bioinformaticians. W...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5862253/ https://www.ncbi.nlm.nih.gov/pubmed/27373737 http://dx.doi.org/10.1093/bib/bbw054 |
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author | Salatino, Silvia Ramraj, Varun |
author_facet | Salatino, Silvia Ramraj, Varun |
author_sort | Salatino, Silvia |
collection | PubMed |
description | Following variant calling and annotation, accurate variant filtering is a crucial step to extract meaningful information from sequencing data and to investigate disease aetiology. However, the variant call format (VCF) used to store this information is not easy to handle for non-bioinformaticians. We present BrowseVCF, a flexible and intuitive software to enable researchers to browse and filter millions of variants in a few seconds. Key features include querying user-defined gene lists, grouping samples for family or tumour/normal studies and exporting results in spreadsheet format. BrowseVCF’s significant advantages over most existing tools include the ability to process data from any DNA sequencing experiment (exome, whole-genome and amplicons) and to correctly parse files annotated with Variant Effect Predictor. BrowseVCF can be used either locally on personal computers or as part of automated pipelines. Its user interface has been carefully designed to minimize tunable parameters. BrowseVCF is freely available from https://github.com/BSGOxford/BrowseVCF/releases/latest. |
format | Online Article Text |
id | pubmed-5862253 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-58622532018-08-31 BrowseVCF: a web-based application and workflow to quickly prioritize disease-causative variants in VCF files Salatino, Silvia Ramraj, Varun Brief Bioinform Papers Following variant calling and annotation, accurate variant filtering is a crucial step to extract meaningful information from sequencing data and to investigate disease aetiology. However, the variant call format (VCF) used to store this information is not easy to handle for non-bioinformaticians. We present BrowseVCF, a flexible and intuitive software to enable researchers to browse and filter millions of variants in a few seconds. Key features include querying user-defined gene lists, grouping samples for family or tumour/normal studies and exporting results in spreadsheet format. BrowseVCF’s significant advantages over most existing tools include the ability to process data from any DNA sequencing experiment (exome, whole-genome and amplicons) and to correctly parse files annotated with Variant Effect Predictor. BrowseVCF can be used either locally on personal computers or as part of automated pipelines. Its user interface has been carefully designed to minimize tunable parameters. BrowseVCF is freely available from https://github.com/BSGOxford/BrowseVCF/releases/latest. Oxford University Press 2017-09 2016-07-02 /pmc/articles/PMC5862253/ /pubmed/27373737 http://dx.doi.org/10.1093/bib/bbw054 Text en © The Author 2016. Published by Oxford University Press. 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 | Papers Salatino, Silvia Ramraj, Varun BrowseVCF: a web-based application and workflow to quickly prioritize disease-causative variants in VCF files |
title | BrowseVCF: a web-based application and workflow to quickly prioritize disease-causative variants in VCF files |
title_full | BrowseVCF: a web-based application and workflow to quickly prioritize disease-causative variants in VCF files |
title_fullStr | BrowseVCF: a web-based application and workflow to quickly prioritize disease-causative variants in VCF files |
title_full_unstemmed | BrowseVCF: a web-based application and workflow to quickly prioritize disease-causative variants in VCF files |
title_short | BrowseVCF: a web-based application and workflow to quickly prioritize disease-causative variants in VCF files |
title_sort | browsevcf: a web-based application and workflow to quickly prioritize disease-causative variants in vcf files |
topic | Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5862253/ https://www.ncbi.nlm.nih.gov/pubmed/27373737 http://dx.doi.org/10.1093/bib/bbw054 |
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