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GenomeVIP: a cloud platform for genomic variant discovery and interpretation
Identifying genomic variants is a fundamental first step toward the understanding of the role of inherited and acquired variation in disease. The accelerating growth in the corpus of sequencing data that underpins such analysis is making the data-download bottleneck more evident, placing substantial...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5538560/ https://www.ncbi.nlm.nih.gov/pubmed/28522612 http://dx.doi.org/10.1101/gr.211656.116 |
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author | Mashl, R. Jay Scott, Adam D. Huang, Kuan-lin Wyczalkowski, Matthew A. Yoon, Christopher J. Niu, Beifang DeNardo, Erin Yellapantula, Venkata D. Handsaker, Robert E. Chen, Ken Koboldt, Daniel C. Ye, Kai Fenyö, David Raphael, Benjamin J. Wendl, Michael C. Ding, Li |
author_facet | Mashl, R. Jay Scott, Adam D. Huang, Kuan-lin Wyczalkowski, Matthew A. Yoon, Christopher J. Niu, Beifang DeNardo, Erin Yellapantula, Venkata D. Handsaker, Robert E. Chen, Ken Koboldt, Daniel C. Ye, Kai Fenyö, David Raphael, Benjamin J. Wendl, Michael C. Ding, Li |
author_sort | Mashl, R. Jay |
collection | PubMed |
description | Identifying genomic variants is a fundamental first step toward the understanding of the role of inherited and acquired variation in disease. The accelerating growth in the corpus of sequencing data that underpins such analysis is making the data-download bottleneck more evident, placing substantial burdens on the research community to keep pace. As a result, the search for alternative approaches to the traditional “download and analyze” paradigm on local computing resources has led to a rapidly growing demand for cloud-computing solutions for genomics analysis. Here, we introduce the Genome Variant Investigation Platform (GenomeVIP), an open-source framework for performing genomics variant discovery and annotation using cloud- or local high-performance computing infrastructure. GenomeVIP orchestrates the analysis of whole-genome and exome sequence data using a set of robust and popular task-specific tools, including VarScan, GATK, Pindel, BreakDancer, Strelka, and Genome STRiP, through a web interface. GenomeVIP has been used for genomic analysis in large-data projects such as the TCGA PanCanAtlas and in other projects, such as the ICGC Pilots, CPTAC, ICGC-TCGA DREAM Challenges, and the 1000 Genomes SV Project. Here, we demonstrate GenomeVIP's ability to provide high-confidence annotated somatic, germline, and de novo variants of potential biological significance using publicly available data sets. |
format | Online Article Text |
id | pubmed-5538560 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-55385602018-02-01 GenomeVIP: a cloud platform for genomic variant discovery and interpretation Mashl, R. Jay Scott, Adam D. Huang, Kuan-lin Wyczalkowski, Matthew A. Yoon, Christopher J. Niu, Beifang DeNardo, Erin Yellapantula, Venkata D. Handsaker, Robert E. Chen, Ken Koboldt, Daniel C. Ye, Kai Fenyö, David Raphael, Benjamin J. Wendl, Michael C. Ding, Li Genome Res Resource Identifying genomic variants is a fundamental first step toward the understanding of the role of inherited and acquired variation in disease. The accelerating growth in the corpus of sequencing data that underpins such analysis is making the data-download bottleneck more evident, placing substantial burdens on the research community to keep pace. As a result, the search for alternative approaches to the traditional “download and analyze” paradigm on local computing resources has led to a rapidly growing demand for cloud-computing solutions for genomics analysis. Here, we introduce the Genome Variant Investigation Platform (GenomeVIP), an open-source framework for performing genomics variant discovery and annotation using cloud- or local high-performance computing infrastructure. GenomeVIP orchestrates the analysis of whole-genome and exome sequence data using a set of robust and popular task-specific tools, including VarScan, GATK, Pindel, BreakDancer, Strelka, and Genome STRiP, through a web interface. GenomeVIP has been used for genomic analysis in large-data projects such as the TCGA PanCanAtlas and in other projects, such as the ICGC Pilots, CPTAC, ICGC-TCGA DREAM Challenges, and the 1000 Genomes SV Project. Here, we demonstrate GenomeVIP's ability to provide high-confidence annotated somatic, germline, and de novo variants of potential biological significance using publicly available data sets. Cold Spring Harbor Laboratory Press 2017-08 /pmc/articles/PMC5538560/ /pubmed/28522612 http://dx.doi.org/10.1101/gr.211656.116 Text en © 2017 Mashl et al.; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Resource Mashl, R. Jay Scott, Adam D. Huang, Kuan-lin Wyczalkowski, Matthew A. Yoon, Christopher J. Niu, Beifang DeNardo, Erin Yellapantula, Venkata D. Handsaker, Robert E. Chen, Ken Koboldt, Daniel C. Ye, Kai Fenyö, David Raphael, Benjamin J. Wendl, Michael C. Ding, Li GenomeVIP: a cloud platform for genomic variant discovery and interpretation |
title | GenomeVIP: a cloud platform for genomic variant discovery and interpretation |
title_full | GenomeVIP: a cloud platform for genomic variant discovery and interpretation |
title_fullStr | GenomeVIP: a cloud platform for genomic variant discovery and interpretation |
title_full_unstemmed | GenomeVIP: a cloud platform for genomic variant discovery and interpretation |
title_short | GenomeVIP: a cloud platform for genomic variant discovery and interpretation |
title_sort | genomevip: a cloud platform for genomic variant discovery and interpretation |
topic | Resource |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5538560/ https://www.ncbi.nlm.nih.gov/pubmed/28522612 http://dx.doi.org/10.1101/gr.211656.116 |
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