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Var2GO: a web-based tool for gene variants selection

BACKGROUND: One of the most challenging issue in the variant calling process is handling the resulting data, and filtering the genes retaining only the ones strictly related to the topic of interest. Several tools permit to gather annotations at different levels of complexity for the detected genes...

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Autores principales: Granata, Ilaria, Sangiovanni, Mara, Maiorano, Francesco, Miele, Marco, Guarracino, Mario Rosario
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5123234/
https://www.ncbi.nlm.nih.gov/pubmed/28185576
http://dx.doi.org/10.1186/s12859-016-1197-0
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author Granata, Ilaria
Sangiovanni, Mara
Maiorano, Francesco
Miele, Marco
Guarracino, Mario Rosario
author_facet Granata, Ilaria
Sangiovanni, Mara
Maiorano, Francesco
Miele, Marco
Guarracino, Mario Rosario
author_sort Granata, Ilaria
collection PubMed
description BACKGROUND: One of the most challenging issue in the variant calling process is handling the resulting data, and filtering the genes retaining only the ones strictly related to the topic of interest. Several tools permit to gather annotations at different levels of complexity for the detected genes and to group them according to the pathways and/or processes they belong to. However, it might be a time consuming and frustrating task. This is partly due to the size of the file, that might contain many thousands of genes, and to the search of associated variants that requires a gene-by-gene investigation and annotation approach. As a consequence, the initial gene list is often reduced exploiting the knowledge of variants effect, novelty and genotype, with the potential risk of losing meaningful pieces of information. RESULTS: Here we present Var2GO, a new web-based tool to support the annotation and filtering of variants and genes coming from variant calling of high-throughput sequencing data. Var2GO permits to upload either the unprocessed Variant Calling Format file or a table containing the annotated variants. The raw data undergo a preliminary step of variants annotation, using the SnpEff tool, and are converted to a table format. The table is then uploaded into an on the fly generated database. Genes associated to the variants are automatically annotated with the corresponding Gene Ontology terms covering the three GO domains. Using the web interface it is then possible to filter and extract, from the whole list, genes having annotations in the domain of interest, by simply specifying filtering parameters and one or more keywords. The relevance of this tool is demonstrated on exome sequencing data. CONCLUSIONS: Var2GO is a novel tool that implements a topic-based approach, expressly designed to help biologists in narrowing the search of relevant genes coming from variant calling analysis. Its main purpose is to support non-bioinformaticians in handling and processing raw variant calling data through an intuitive web interface. Furthermore, Var2GO offers a complete pipeline that, starting from the raw VCF file, allows to annotate both variants and associated genes and supports the extraction of relevant biological knowledge.
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spelling pubmed-51232342016-12-06 Var2GO: a web-based tool for gene variants selection Granata, Ilaria Sangiovanni, Mara Maiorano, Francesco Miele, Marco Guarracino, Mario Rosario BMC Bioinformatics Research BACKGROUND: One of the most challenging issue in the variant calling process is handling the resulting data, and filtering the genes retaining only the ones strictly related to the topic of interest. Several tools permit to gather annotations at different levels of complexity for the detected genes and to group them according to the pathways and/or processes they belong to. However, it might be a time consuming and frustrating task. This is partly due to the size of the file, that might contain many thousands of genes, and to the search of associated variants that requires a gene-by-gene investigation and annotation approach. As a consequence, the initial gene list is often reduced exploiting the knowledge of variants effect, novelty and genotype, with the potential risk of losing meaningful pieces of information. RESULTS: Here we present Var2GO, a new web-based tool to support the annotation and filtering of variants and genes coming from variant calling of high-throughput sequencing data. Var2GO permits to upload either the unprocessed Variant Calling Format file or a table containing the annotated variants. The raw data undergo a preliminary step of variants annotation, using the SnpEff tool, and are converted to a table format. The table is then uploaded into an on the fly generated database. Genes associated to the variants are automatically annotated with the corresponding Gene Ontology terms covering the three GO domains. Using the web interface it is then possible to filter and extract, from the whole list, genes having annotations in the domain of interest, by simply specifying filtering parameters and one or more keywords. The relevance of this tool is demonstrated on exome sequencing data. CONCLUSIONS: Var2GO is a novel tool that implements a topic-based approach, expressly designed to help biologists in narrowing the search of relevant genes coming from variant calling analysis. Its main purpose is to support non-bioinformaticians in handling and processing raw variant calling data through an intuitive web interface. Furthermore, Var2GO offers a complete pipeline that, starting from the raw VCF file, allows to annotate both variants and associated genes and supports the extraction of relevant biological knowledge. BioMed Central 2016-11-08 /pmc/articles/PMC5123234/ /pubmed/28185576 http://dx.doi.org/10.1186/s12859-016-1197-0 Text en © The Author(s) 2016 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 Research
Granata, Ilaria
Sangiovanni, Mara
Maiorano, Francesco
Miele, Marco
Guarracino, Mario Rosario
Var2GO: a web-based tool for gene variants selection
title Var2GO: a web-based tool for gene variants selection
title_full Var2GO: a web-based tool for gene variants selection
title_fullStr Var2GO: a web-based tool for gene variants selection
title_full_unstemmed Var2GO: a web-based tool for gene variants selection
title_short Var2GO: a web-based tool for gene variants selection
title_sort var2go: a web-based tool for gene variants selection
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5123234/
https://www.ncbi.nlm.nih.gov/pubmed/28185576
http://dx.doi.org/10.1186/s12859-016-1197-0
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