de.mpg.escidoc.pubman.appbase.FacesBean
Deutsch
 
Hilfe Wegweiser Datenschutzhinweis Impressum Kontakt
  DetailsucheBrowse

Datensatz

DATENSATZ AKTIONENEXPORT

Freigegeben

Zeitschriftenartikel

Fast and accurate read mapping with approximate seeds and multiple backtracking

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons50558

Siragusa,  E.
Dept. of Computational Molecular Biology (Head: Martin Vingron), Max Planck Institute for Molecular Genetics, Max Planck Society;
Department of Mathematics and Computer Science, Freie Universität Berlin;

Externe Ressourcen
Es sind keine Externen Ressourcen verfügbar
Volltexte (frei zugänglich)

Siragusa et al.pdf
(Verlagsversion), 328KB

Ergänzendes Material (frei zugänglich)
Es sind keine frei zugänglichen Ergänzenden Materialien verfügbar
Zitation

Siragusa, E., Weese, D., & Reinert, K. (2013). Fast and accurate read mapping with approximate seeds and multiple backtracking. Nucleic Acids Research (London), 41(7), e78-e78. doi:10.1093/nar/gkt005.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0014-7BB1-F
Zusammenfassung
We present Masai, a read mapper representing the state-of-the-art in terms of speed and accuracy. Our tool is an order of magnitude faster than RazerS 3 and mrFAST, 2-4 times faster and more accurate than Bowtie 2 and BWA. The novelties of our read mapper are filtration with approximate seeds and a method for multiple backtracking. Approximate seeds, compared with exact seeds, increase filtration specificity while preserving sensitivity. Multiple backtracking amortizes the cost of searching a large set of seeds by taking advantage of the repetitiveness of next-generation sequencing data. Combined together, these two methods significantly speed up approximate search on genomic data sets. Masai is implemented in C++ using the SeqAn library. The source code is distributed under the BSD license and binaries for Linux, Mac OS X and Windows can be freely downloaded from http://www.seqan.de/projects/masai.