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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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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. |
format | Online Article Text |
id | pubmed-3556895 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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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