Training alignment parameters for arbitrary sequencers with LAST-TRAIN

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

doi:10.1093/bioinformatics/btw742

Training alignment parameters for arbitrary sequencers with LAST-TRAIN

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

^*この研究の対応する著者

先進理工学部

研究成果: Article › 査読

26 被引用数 (Scopus)

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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.

本文言語	English
ページ（範囲）	926-928
ページ数	3
ジャーナル	Bioinformatics
巻	33
号	6
DOI	https://doi.org/10.1093/bioinformatics/btw742
出版ステータス	Published - 2017

ASJC Scopus subject areas

統計学および確率
生化学
分子生物学
コンピュータサイエンスの応用
計算理論と計算数学
計算数学

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10.1093/bioinformatics/btw742

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AU - Frith, Martin C.

AU - Hancock, John

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Training alignment parameters for arbitrary sequencers with LAST-TRAIN

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