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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Main Authors: Marisa P. Dolled-Filhart, Michael Lee, Chih-wen Ou-yang, Rajini Rani Haraksingh, Jimmy Cheng-Ho Lin
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2013/730210
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author Marisa P. Dolled-Filhart
Michael Lee
Chih-wen Ou-yang
Rajini Rani Haraksingh
Jimmy Cheng-Ho Lin
author_facet Marisa P. Dolled-Filhart
Michael Lee
Chih-wen Ou-yang
Rajini Rani Haraksingh
Jimmy Cheng-Ho Lin
author_sort Marisa P. Dolled-Filhart
collection DOAJ
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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institution Kabale University
issn 1537-744X
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series The Scientific World Journal
spelling doaj-art-c5c639c7219344799093f79a753c49ff2025-02-03T01:31:30ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/730210730210Computational and Bioinformatics Frameworks for Next-Generation Whole Exome and Genome SequencingMarisa P. Dolled-Filhart0Michael Lee1Chih-wen Ou-yang2Rajini Rani Haraksingh3Jimmy Cheng-Ho Lin4Rare Genomics Institute, 4100 Forest Park Avenue, Suite 204, St. Louis, MO 63108, USARare Genomics Institute, 4100 Forest Park Avenue, Suite 204, St. Louis, MO 63108, USARare Genomics Institute, 4100 Forest Park Avenue, Suite 204, St. Louis, MO 63108, USARare Genomics Institute, 4100 Forest Park Avenue, Suite 204, St. Louis, MO 63108, USARare Genomics Institute, 4100 Forest Park Avenue, Suite 204, St. Louis, MO 63108, USAIt 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.http://dx.doi.org/10.1155/2013/730210
spellingShingle Marisa P. Dolled-Filhart
Michael Lee
Chih-wen Ou-yang
Rajini Rani Haraksingh
Jimmy Cheng-Ho Lin
Computational and Bioinformatics Frameworks for Next-Generation Whole Exome and Genome Sequencing
The Scientific World Journal
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
url http://dx.doi.org/10.1155/2013/730210
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