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Training alignment parameters for arbitrary sequencers with LAST-TRAIN.


ABSTRACT: Summary:LAST-TRAIN improves sequence alignment accuracy by inferring substitution and gap scores that fit the frequencies of substitutions, insertions, and deletions in a given dataset. We have applied it to mapping DNA reads from IonTorrent and PacBio RS, and we show that it reduces reference bias for Oxford Nanopore reads. Availability and Implementation:the source code is freely available at http://last.cbrc.jp/. Contact:mhamada@waseda.jp or mcfrith@edu.k.u-tokyo.ac.jp. Supplementary information:Supplementary data are available at Bioinformatics online.

SUBMITTER: Hamada M 

PROVIDER: S-EPMC5351549 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature

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Training alignment parameters for arbitrary sequencers with LAST-TRAIN.

Hamada Michiaki M   Ono Yukiteru Y   Asai Kiyoshi K   Frith Martin C MC  

Bioinformatics (Oxford, England) 20170301 6


<h4>Summary</h4>LAST-TRAIN improves sequence alignment accuracy by inferring substitution and gap scores that fit the frequencies of substitutions, insertions, and deletions in a given dataset. We have applied it to mapping DNA reads from IonTorrent and PacBio RS, and we show that it reduces reference bias for Oxford Nanopore reads.<h4>Availability and implementation</h4>the source code is freely available at http://last.cbrc.jp/.<h4>Contact</h4>mhamada@waseda.jp or mcfrith@edu.k.u-tokyo.ac.jp.<  ...[more]

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