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VDAP-GUI: a user-friendly pipeline for variant discovery and annotation of raw next-generation sequencing data
Even though next-generation sequencing (NGS) has become an invaluable tool in molecular biology, several laboratories with NGS facilities lack trained Bioinformaticians for data analysis. Here, focusing on the variant detection application of NGS analysis, we have developed a fully automated pipelin...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4754298/ https://www.ncbi.nlm.nih.gov/pubmed/28330138 http://dx.doi.org/10.1007/s13205-016-0382-1 |
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author | Menon, Ramesh Patel, Namrata V. Mohapatra, Amitbikram Joshi, Chaitanya G. |
author_facet | Menon, Ramesh Patel, Namrata V. Mohapatra, Amitbikram Joshi, Chaitanya G. |
author_sort | Menon, Ramesh |
collection | PubMed |
description | Even though next-generation sequencing (NGS) has become an invaluable tool in molecular biology, several laboratories with NGS facilities lack trained Bioinformaticians for data analysis. Here, focusing on the variant detection application of NGS analysis, we have developed a fully automated pipeline, namely Variant Discovery and Annotation Tool-Graphical User Interface (VDAP-GUI), which detects and annotates single nucleotide polymorphisms and insertions/deletions from raw sequence reads. VDAP-GUI consolidates several proven methods in each step such as quality control, trimming, mapping, variant detection and annotation. It supports multiple NGS platforms and has four methodological choices for variant detection. Further, it can re-analyze existing data with alternate thresholds and generates easily interpretable reports in html and tab-delimited formats. Using VDAP-GUI, we have analyzed a publically available human whole-exome sequence dataset. VDAP-GUI is developed using Perl/Tk programming, and is available for free download and use at http://sourceforge.net/projects/vdapgui/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13205-016-0382-1) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4754298 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-47542982016-02-16 VDAP-GUI: a user-friendly pipeline for variant discovery and annotation of raw next-generation sequencing data Menon, Ramesh Patel, Namrata V. Mohapatra, Amitbikram Joshi, Chaitanya G. 3 Biotech Original Article Even though next-generation sequencing (NGS) has become an invaluable tool in molecular biology, several laboratories with NGS facilities lack trained Bioinformaticians for data analysis. Here, focusing on the variant detection application of NGS analysis, we have developed a fully automated pipeline, namely Variant Discovery and Annotation Tool-Graphical User Interface (VDAP-GUI), which detects and annotates single nucleotide polymorphisms and insertions/deletions from raw sequence reads. VDAP-GUI consolidates several proven methods in each step such as quality control, trimming, mapping, variant detection and annotation. It supports multiple NGS platforms and has four methodological choices for variant detection. Further, it can re-analyze existing data with alternate thresholds and generates easily interpretable reports in html and tab-delimited formats. Using VDAP-GUI, we have analyzed a publically available human whole-exome sequence dataset. VDAP-GUI is developed using Perl/Tk programming, and is available for free download and use at http://sourceforge.net/projects/vdapgui/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13205-016-0382-1) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2016-02-15 2016-06 /pmc/articles/PMC4754298/ /pubmed/28330138 http://dx.doi.org/10.1007/s13205-016-0382-1 Text en © The Author(s) 2016 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. |
spellingShingle | Original Article Menon, Ramesh Patel, Namrata V. Mohapatra, Amitbikram Joshi, Chaitanya G. VDAP-GUI: a user-friendly pipeline for variant discovery and annotation of raw next-generation sequencing data |
title | VDAP-GUI: a user-friendly pipeline for variant discovery and annotation of raw next-generation sequencing data |
title_full | VDAP-GUI: a user-friendly pipeline for variant discovery and annotation of raw next-generation sequencing data |
title_fullStr | VDAP-GUI: a user-friendly pipeline for variant discovery and annotation of raw next-generation sequencing data |
title_full_unstemmed | VDAP-GUI: a user-friendly pipeline for variant discovery and annotation of raw next-generation sequencing data |
title_short | VDAP-GUI: a user-friendly pipeline for variant discovery and annotation of raw next-generation sequencing data |
title_sort | vdap-gui: a user-friendly pipeline for variant discovery and annotation of raw next-generation sequencing data |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4754298/ https://www.ncbi.nlm.nih.gov/pubmed/28330138 http://dx.doi.org/10.1007/s13205-016-0382-1 |
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