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VCPA: genomic variant calling pipeline and data management tool for Alzheimer’s Disease Sequencing Project
SUMMARY: We report VCPA, our SNP/Indel Variant Calling Pipeline and data management tool used for the analysis of whole genome and exome sequencing (WGS/WES) for the Alzheimer’s Disease Sequencing Project. VCPA consists of two independent but linkable components: pipeline and tracking database. The...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6513159/ https://www.ncbi.nlm.nih.gov/pubmed/30351394 http://dx.doi.org/10.1093/bioinformatics/bty894 |
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author | Leung, Yuk Yee Valladares, Otto Chou, Yi-Fan Lin, Han-Jen Kuzma, Amanda B Cantwell, Laura Qu, Liming Gangadharan, Prabhakaran Salerno, William J Schellenberg, Gerard D Wang, Li-San |
author_facet | Leung, Yuk Yee Valladares, Otto Chou, Yi-Fan Lin, Han-Jen Kuzma, Amanda B Cantwell, Laura Qu, Liming Gangadharan, Prabhakaran Salerno, William J Schellenberg, Gerard D Wang, Li-San |
author_sort | Leung, Yuk Yee |
collection | PubMed |
description | SUMMARY: We report VCPA, our SNP/Indel Variant Calling Pipeline and data management tool used for the analysis of whole genome and exome sequencing (WGS/WES) for the Alzheimer’s Disease Sequencing Project. VCPA consists of two independent but linkable components: pipeline and tracking database. The pipeline, implemented using the Workflow Description Language and fully optimized for the Amazon elastic compute cloud environment, includes steps from aligning raw sequence reads to variant calling using GATK. The tracking database allows users to view job running status in real time and visualize >100 quality metrics per genome. VCPA is functionally equivalent to the CCDG/TOPMed pipeline. Users can use the pipeline and the dockerized database to process large WGS/WES datasets on Amazon cloud with minimal configuration. AVAILABILITY AND IMPLEMENTATION: VCPA is released under the MIT license and is available for academic and nonprofit use for free. The pipeline source code and step-by-step instructions are available from the National Institute on Aging Genetics of Alzheimer’s Disease Data Storage Site (http://www.niagads.org/VCPA). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. |
format | Online Article Text |
id | pubmed-6513159 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-65131592019-05-20 VCPA: genomic variant calling pipeline and data management tool for Alzheimer’s Disease Sequencing Project Leung, Yuk Yee Valladares, Otto Chou, Yi-Fan Lin, Han-Jen Kuzma, Amanda B Cantwell, Laura Qu, Liming Gangadharan, Prabhakaran Salerno, William J Schellenberg, Gerard D Wang, Li-San Bioinformatics Applications Notes SUMMARY: We report VCPA, our SNP/Indel Variant Calling Pipeline and data management tool used for the analysis of whole genome and exome sequencing (WGS/WES) for the Alzheimer’s Disease Sequencing Project. VCPA consists of two independent but linkable components: pipeline and tracking database. The pipeline, implemented using the Workflow Description Language and fully optimized for the Amazon elastic compute cloud environment, includes steps from aligning raw sequence reads to variant calling using GATK. The tracking database allows users to view job running status in real time and visualize >100 quality metrics per genome. VCPA is functionally equivalent to the CCDG/TOPMed pipeline. Users can use the pipeline and the dockerized database to process large WGS/WES datasets on Amazon cloud with minimal configuration. AVAILABILITY AND IMPLEMENTATION: VCPA is released under the MIT license and is available for academic and nonprofit use for free. The pipeline source code and step-by-step instructions are available from the National Institute on Aging Genetics of Alzheimer’s Disease Data Storage Site (http://www.niagads.org/VCPA). SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2019-05-15 2018-10-23 /pmc/articles/PMC6513159/ /pubmed/30351394 http://dx.doi.org/10.1093/bioinformatics/bty894 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Applications Notes Leung, Yuk Yee Valladares, Otto Chou, Yi-Fan Lin, Han-Jen Kuzma, Amanda B Cantwell, Laura Qu, Liming Gangadharan, Prabhakaran Salerno, William J Schellenberg, Gerard D Wang, Li-San VCPA: genomic variant calling pipeline and data management tool for Alzheimer’s Disease Sequencing Project |
title | VCPA: genomic variant calling pipeline and data management tool for Alzheimer’s Disease Sequencing Project |
title_full | VCPA: genomic variant calling pipeline and data management tool for Alzheimer’s Disease Sequencing Project |
title_fullStr | VCPA: genomic variant calling pipeline and data management tool for Alzheimer’s Disease Sequencing Project |
title_full_unstemmed | VCPA: genomic variant calling pipeline and data management tool for Alzheimer’s Disease Sequencing Project |
title_short | VCPA: genomic variant calling pipeline and data management tool for Alzheimer’s Disease Sequencing Project |
title_sort | vcpa: genomic variant calling pipeline and data management tool for alzheimer’s disease sequencing project |
topic | Applications Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6513159/ https://www.ncbi.nlm.nih.gov/pubmed/30351394 http://dx.doi.org/10.1093/bioinformatics/bty894 |
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