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VIVA (VIsualization of VAriants): A VCF File Visualization Tool

High-throughput sequencing produces an extraordinary amount of genomic data that is organized into a number of high-dimension datasets. Accordingly, visualization of genomic data has become essential for quality control, exploration, and data interpretation. The Variant Call Format (VCF) is a text f...

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Detalles Bibliográficos
Autores principales: Tollefson, G. A., Schuster, J., Gelin, F., Agudelo, A., Ragavendran, A., Restrepo, I., Stey, P., Padbury, J., Uzun, A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6718772/
https://www.ncbi.nlm.nih.gov/pubmed/31477778
http://dx.doi.org/10.1038/s41598-019-49114-z
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author Tollefson, G. A.
Schuster, J.
Gelin, F.
Agudelo, A.
Ragavendran, A.
Restrepo, I.
Stey, P.
Padbury, J.
Uzun, A.
author_facet Tollefson, G. A.
Schuster, J.
Gelin, F.
Agudelo, A.
Ragavendran, A.
Restrepo, I.
Stey, P.
Padbury, J.
Uzun, A.
author_sort Tollefson, G. A.
collection PubMed
description High-throughput sequencing produces an extraordinary amount of genomic data that is organized into a number of high-dimension datasets. Accordingly, visualization of genomic data has become essential for quality control, exploration, and data interpretation. The Variant Call Format (VCF) is a text file format generated during the variant calling process that contains genomic information and locations of variants in a group of sequenced samples. The current workflow for visualization of genomic variant data from VCF files requires use of a combination of existing tools. Here, we describe VIVA (VIsualization of VAriants), a command line utility and Jupyter Notebook based tool for evaluating and sharing genomic data for variant analysis and quality control of sequencing experiments from VCF files. VIVA combines the functionality of existing tools into a single command to interactively evaluate and share genomic data, as well as create publication quality graphics.
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spelling pubmed-67187722019-09-17 VIVA (VIsualization of VAriants): A VCF File Visualization Tool Tollefson, G. A. Schuster, J. Gelin, F. Agudelo, A. Ragavendran, A. Restrepo, I. Stey, P. Padbury, J. Uzun, A. Sci Rep Article High-throughput sequencing produces an extraordinary amount of genomic data that is organized into a number of high-dimension datasets. Accordingly, visualization of genomic data has become essential for quality control, exploration, and data interpretation. The Variant Call Format (VCF) is a text file format generated during the variant calling process that contains genomic information and locations of variants in a group of sequenced samples. The current workflow for visualization of genomic variant data from VCF files requires use of a combination of existing tools. Here, we describe VIVA (VIsualization of VAriants), a command line utility and Jupyter Notebook based tool for evaluating and sharing genomic data for variant analysis and quality control of sequencing experiments from VCF files. VIVA combines the functionality of existing tools into a single command to interactively evaluate and share genomic data, as well as create publication quality graphics. Nature Publishing Group UK 2019-09-02 /pmc/articles/PMC6718772/ /pubmed/31477778 http://dx.doi.org/10.1038/s41598-019-49114-z Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Tollefson, G. A.
Schuster, J.
Gelin, F.
Agudelo, A.
Ragavendran, A.
Restrepo, I.
Stey, P.
Padbury, J.
Uzun, A.
VIVA (VIsualization of VAriants): A VCF File Visualization Tool
title VIVA (VIsualization of VAriants): A VCF File Visualization Tool
title_full VIVA (VIsualization of VAriants): A VCF File Visualization Tool
title_fullStr VIVA (VIsualization of VAriants): A VCF File Visualization Tool
title_full_unstemmed VIVA (VIsualization of VAriants): A VCF File Visualization Tool
title_short VIVA (VIsualization of VAriants): A VCF File Visualization Tool
title_sort viva (visualization of variants): a vcf file visualization tool
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6718772/
https://www.ncbi.nlm.nih.gov/pubmed/31477778
http://dx.doi.org/10.1038/s41598-019-49114-z
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