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Improving bioinformatic pipelines for exome variant calling

Exome sequencing analysis is a cost-effective approach for identifying variants in coding regions. However, recognizing the relevant single nucleotide variants, small insertions and deletions remains a challenge for many researchers and diagnostic laboratories typically do not have access to the bio...

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Autor principal: Ji, Hanlee P
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3334555/
https://www.ncbi.nlm.nih.gov/pubmed/22289516
http://dx.doi.org/10.1186/gm306
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author Ji, Hanlee P
author_facet Ji, Hanlee P
author_sort Ji, Hanlee P
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description Exome sequencing analysis is a cost-effective approach for identifying variants in coding regions. However, recognizing the relevant single nucleotide variants, small insertions and deletions remains a challenge for many researchers and diagnostic laboratories typically do not have access to the bioinformatic analysis pipelines necessary for clinical application. The Atlas2 suite, recently released by Baylor Genome Center, is designed to be widely accessible, runs on desktop computers but is scalable to computational clusters, and performs comparably with other popular variant callers. Atlas2 may be an accessible alternative for data processing when a rapid solution for variant calling is required. See research article http://www.biomedcentral.com/1471-2105/13/8.
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spelling pubmed-33345552012-04-25 Improving bioinformatic pipelines for exome variant calling Ji, Hanlee P Genome Med Research Highlight Exome sequencing analysis is a cost-effective approach for identifying variants in coding regions. However, recognizing the relevant single nucleotide variants, small insertions and deletions remains a challenge for many researchers and diagnostic laboratories typically do not have access to the bioinformatic analysis pipelines necessary for clinical application. The Atlas2 suite, recently released by Baylor Genome Center, is designed to be widely accessible, runs on desktop computers but is scalable to computational clusters, and performs comparably with other popular variant callers. Atlas2 may be an accessible alternative for data processing when a rapid solution for variant calling is required. See research article http://www.biomedcentral.com/1471-2105/13/8. BioMed Central 2012-01-30 /pmc/articles/PMC3334555/ /pubmed/22289516 http://dx.doi.org/10.1186/gm306 Text en Copyright ©2012 BioMed Central Ltd.
spellingShingle Research Highlight
Ji, Hanlee P
Improving bioinformatic pipelines for exome variant calling
title Improving bioinformatic pipelines for exome variant calling
title_full Improving bioinformatic pipelines for exome variant calling
title_fullStr Improving bioinformatic pipelines for exome variant calling
title_full_unstemmed Improving bioinformatic pipelines for exome variant calling
title_short Improving bioinformatic pipelines for exome variant calling
title_sort improving bioinformatic pipelines for exome variant calling
topic Research Highlight
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3334555/
https://www.ncbi.nlm.nih.gov/pubmed/22289516
http://dx.doi.org/10.1186/gm306
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