4.7 Article

Training alignment parameters for arbitrary sequencers with LAST-TRAIN

Journal

BIOINFORMATICS
Volume 33, Issue 6, Pages 926-928

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btw742

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Funding

  1. MEXT KAKENHI [JP24680031, JP16H05879, JP16H01318, JP26700030, JP25240044, JP221S0002]
  2. Grants-in-Aid for Scientific Research [16H06279, 16H02484, 26700030] Funding Source: KAKEN

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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.

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