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Computational and Bioinformatics Frameworks for Next-Generation Whole Exome and Genome Sequencing

It has become increasingly apparent that one of the major hurdles in the genomic age will be the bioinformatics challenges of next-generation sequencing. We provide an overview of a general framework of bioinformatics analysis. For each of the three stages of (1) alignment, (2) variant calling, and...

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Detalles Bibliográficos
Autores principales: Dolled-Filhart, Marisa P., Lee, Michael, Ou-yang, Chih-wen, Haraksingh, Rajini Rani, Lin, Jimmy Cheng-Ho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3556895/
https://www.ncbi.nlm.nih.gov/pubmed/23365548
http://dx.doi.org/10.1155/2013/730210
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author Dolled-Filhart, Marisa P.
Lee, Michael
Ou-yang, Chih-wen
Haraksingh, Rajini Rani
Lin, Jimmy Cheng-Ho
author_facet Dolled-Filhart, Marisa P.
Lee, Michael
Ou-yang, Chih-wen
Haraksingh, Rajini Rani
Lin, Jimmy Cheng-Ho
author_sort Dolled-Filhart, Marisa P.
collection PubMed
description It has become increasingly apparent that one of the major hurdles in the genomic age will be the bioinformatics challenges of next-generation sequencing. We provide an overview of a general framework of bioinformatics analysis. For each of the three stages of (1) alignment, (2) variant calling, and (3) filtering and annotation, we describe the analysis required and survey the different software packages that are used. Furthermore, we discuss possible future developments as data sources grow and highlight opportunities for new bioinformatics tools to be developed.
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spelling pubmed-35568952013-01-30 Computational and Bioinformatics Frameworks for Next-Generation Whole Exome and Genome Sequencing Dolled-Filhart, Marisa P. Lee, Michael Ou-yang, Chih-wen Haraksingh, Rajini Rani Lin, Jimmy Cheng-Ho ScientificWorldJournal Review Article It has become increasingly apparent that one of the major hurdles in the genomic age will be the bioinformatics challenges of next-generation sequencing. We provide an overview of a general framework of bioinformatics analysis. For each of the three stages of (1) alignment, (2) variant calling, and (3) filtering and annotation, we describe the analysis required and survey the different software packages that are used. Furthermore, we discuss possible future developments as data sources grow and highlight opportunities for new bioinformatics tools to be developed. Hindawi Publishing Corporation 2013-01-13 /pmc/articles/PMC3556895/ /pubmed/23365548 http://dx.doi.org/10.1155/2013/730210 Text en Copyright © 2013 Marisa P. Dolled-Filhart et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Dolled-Filhart, Marisa P.
Lee, Michael
Ou-yang, Chih-wen
Haraksingh, Rajini Rani
Lin, Jimmy Cheng-Ho
Computational and Bioinformatics Frameworks for Next-Generation Whole Exome and Genome Sequencing
title Computational and Bioinformatics Frameworks for Next-Generation Whole Exome and Genome Sequencing
title_full Computational and Bioinformatics Frameworks for Next-Generation Whole Exome and Genome Sequencing
title_fullStr Computational and Bioinformatics Frameworks for Next-Generation Whole Exome and Genome Sequencing
title_full_unstemmed Computational and Bioinformatics Frameworks for Next-Generation Whole Exome and Genome Sequencing
title_short Computational and Bioinformatics Frameworks for Next-Generation Whole Exome and Genome Sequencing
title_sort computational and bioinformatics frameworks for next-generation whole exome and genome sequencing
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3556895/
https://www.ncbi.nlm.nih.gov/pubmed/23365548
http://dx.doi.org/10.1155/2013/730210
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