Document Detail


Tools for mapping high-throughput sequencing data.
MedLine Citation:
PMID:  23060614     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
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.
Authors:
Nuno A Fonseca; Johan Rung; Alvis Brazma; John C Marioni
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-10-11
Journal Detail:
Title:  Bioinformatics (Oxford, England)     Volume:  -     ISSN:  1367-4811     ISO Abbreviation:  Bioinformatics     Publication Date:  2012 Oct 
Date Detail:
Created Date:  2012-10-12     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9808944     Medline TA:  Bioinformatics     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Affiliation:
EMBL-EBI European Molecular Biology Laboratory - European Bioinformatics Institute Cambridge CB10 1SD, UK.
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