| Literature DB >> 23103880 |
Santiago Marco-Sola1, Michael Sammeth, Roderic Guigó, Paolo Ribeca.
Abstract
Because of ever-increasing throughput requirements of sequencing data, most existing short-read aligners have been designed to focus on speed at the expense of accuracy. The Genome Multitool (GEM) mapper can leverage string matching by filtration to search the alignment space more efficiently, simultaneously delivering precision (performing fully tunable exhaustive searches that return all existing matches, including gapped ones) and speed (being several times faster than comparable state-of-the-art tools).Mesh:
Year: 2012 PMID: 23103880 DOI: 10.1038/nmeth.2221
Source DB: PubMed Journal: Nat Methods ISSN: 1548-7091 Impact factor: 28.547