Training alignment parameters for arbitrary sequencers with LAST-TRAIN

Michiaki Hamada, Yukiteru Ono, Kiyoshi Asai, Martin C. Frith, John Hancock

研究成果: Article査読

16 被引用数 (Scopus)

抄録

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.

本文言語English
ページ(範囲)926-928
ページ数3
ジャーナルBioinformatics
33
6
DOI
出版ステータスPublished - 2017

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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