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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory Press 2017
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.
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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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