| Tools for mapping high-throughput sequencing data. | |
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MedLine Citation:
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PMID: 23060614 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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MOTIVATION: A ubiquitous and fundamental step in high-throughput sequencing analysis is the alignment (mapping) of the generated reads to a reference sequence. To accomplish this task numerous software tools have been proposed. Determining the mappers that are most suitable for a specific application is not trivial. RESULTS: This survey focuses on classifying mappers through a wide number of characteristics. The goal is to allow practitioners to compare the mappers more easily and find those that are most suitable for their specific problem. AVAILABILITY: A regularly updated compendium of mappers can be found at http://wwwdev.ebi.ac.uk/fg/hts_mappers/http://wwwdev.ebi.ac.uk/fg/hts_mappers/. CONTACT: nf@ebi.ac.uk SUPPLEMENTARY INFORMATION: Supplementary information on this manuscript is available online. |
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Authors:
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Nuno A Fonseca; Johan Rung; Alvis Brazma; John C Marioni |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2012-10-11 |
Journal Detail:
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Title: Bioinformatics (Oxford, England) Volume: - ISSN: 1367-4811 ISO Abbreviation: Bioinformatics Publication Date: 2012 Oct |
Date Detail:
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Created Date: 2012-10-12 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9808944 Medline TA: Bioinformatics Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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EMBL-EBI European Molecular Biology Laboratory - European Bioinformatics Institute Cambridge CB10 1SD, UK. |
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