Open AccessTools for mapping high-throughput sequencing data
Author(s) -
Nuno A. Fonseca,
Johan Rung,
Alvis Brāzma,
John C. Marioni
Publication year - 2012
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bts605
Subject(s) - computer science , throughput , task (project management) , software , dna sequencing , data mining , sequence (biology) , programming language , biology , operating system , dna , engineering , genetics , systems engineering , wireless
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.
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