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An integrative variant analysis suite for whole exome next-generation sequencing data
BACKGROUND: Whole exome capture sequencing allows researchers to cost-effectively sequence the coding regions of the genome. Although the exome capture sequencing methods have become routine and well established, there is currently a lack of tools specialized for variant calling in this type of data...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3292476/ https://www.ncbi.nlm.nih.gov/pubmed/22239737 http://dx.doi.org/10.1186/1471-2105-13-8 |
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author | Challis, Danny Yu, Jin Evani, Uday S Jackson, Andrew R Paithankar, Sameer Coarfa, Cristian Milosavljevic, Aleksandar Gibbs, Richard A Yu, Fuli |
author_facet | Challis, Danny Yu, Jin Evani, Uday S Jackson, Andrew R Paithankar, Sameer Coarfa, Cristian Milosavljevic, Aleksandar Gibbs, Richard A Yu, Fuli |
author_sort | Challis, Danny |
collection | PubMed |
description | BACKGROUND: Whole exome capture sequencing allows researchers to cost-effectively sequence the coding regions of the genome. Although the exome capture sequencing methods have become routine and well established, there is currently a lack of tools specialized for variant calling in this type of data. RESULTS: Using statistical models trained on validated whole-exome capture sequencing data, the Atlas2 Suite is an integrative variant analysis pipeline optimized for variant discovery on all three of the widely used next generation sequencing platforms (SOLiD, Illumina, and Roche 454). The suite employs logistic regression models in conjunction with user-adjustable cutoffs to accurately separate true SNPs and INDELs from sequencing and mapping errors with high sensitivity (96.7%). CONCLUSION: We have implemented the Atlas2 Suite and applied it to 92 whole exome samples from the 1000 Genomes Project. The Atlas2 Suite is available for download at http://sourceforge.net/projects/atlas2/. In addition to a command line version, the suite has been integrated into the Genboree Workbench, allowing biomedical scientists with minimal informatics expertise to remotely call, view, and further analyze variants through a simple web interface. The existing genomic databases displayed via the Genboree browser also streamline the process from variant discovery to functional genomics analysis, resulting in an off-the-shelf toolkit for the broader community. |
format | Online Article Text |
id | pubmed-3292476 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-32924762012-03-05 An integrative variant analysis suite for whole exome next-generation sequencing data Challis, Danny Yu, Jin Evani, Uday S Jackson, Andrew R Paithankar, Sameer Coarfa, Cristian Milosavljevic, Aleksandar Gibbs, Richard A Yu, Fuli BMC Bioinformatics Software BACKGROUND: Whole exome capture sequencing allows researchers to cost-effectively sequence the coding regions of the genome. Although the exome capture sequencing methods have become routine and well established, there is currently a lack of tools specialized for variant calling in this type of data. RESULTS: Using statistical models trained on validated whole-exome capture sequencing data, the Atlas2 Suite is an integrative variant analysis pipeline optimized for variant discovery on all three of the widely used next generation sequencing platforms (SOLiD, Illumina, and Roche 454). The suite employs logistic regression models in conjunction with user-adjustable cutoffs to accurately separate true SNPs and INDELs from sequencing and mapping errors with high sensitivity (96.7%). CONCLUSION: We have implemented the Atlas2 Suite and applied it to 92 whole exome samples from the 1000 Genomes Project. The Atlas2 Suite is available for download at http://sourceforge.net/projects/atlas2/. In addition to a command line version, the suite has been integrated into the Genboree Workbench, allowing biomedical scientists with minimal informatics expertise to remotely call, view, and further analyze variants through a simple web interface. The existing genomic databases displayed via the Genboree browser also streamline the process from variant discovery to functional genomics analysis, resulting in an off-the-shelf toolkit for the broader community. BioMed Central 2012-01-12 /pmc/articles/PMC3292476/ /pubmed/22239737 http://dx.doi.org/10.1186/1471-2105-13-8 Text en Copyright ©2012 Challis et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Challis, Danny Yu, Jin Evani, Uday S Jackson, Andrew R Paithankar, Sameer Coarfa, Cristian Milosavljevic, Aleksandar Gibbs, Richard A Yu, Fuli An integrative variant analysis suite for whole exome next-generation sequencing data |
title | An integrative variant analysis suite for whole exome next-generation sequencing data |
title_full | An integrative variant analysis suite for whole exome next-generation sequencing data |
title_fullStr | An integrative variant analysis suite for whole exome next-generation sequencing data |
title_full_unstemmed | An integrative variant analysis suite for whole exome next-generation sequencing data |
title_short | An integrative variant analysis suite for whole exome next-generation sequencing data |
title_sort | integrative variant analysis suite for whole exome next-generation sequencing data |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3292476/ https://www.ncbi.nlm.nih.gov/pubmed/22239737 http://dx.doi.org/10.1186/1471-2105-13-8 |
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