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Tools for mapping high-throughput sequencing data

By: Contributor(s): Material type: ArticleLanguage: English Publication details: Oxford (United Kingdom) : Oxford University Press, 2012.ISSN:
  • 1367-4803
  • 1460-2059 (Online)
Subject(s): Online resources: In: Bioinformatics Oxford (United Kingdom) : Oxford University Press, 2012. v. 28, no. 24, p. 3169-3177Summary: 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.
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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.

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