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Training alignment parameters for arbitrary sequencers with LAST-TRAIN
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...
Autores principales: | Hamada, Michiaki, Ono, Yukiteru, Asai, Kiyoshi, Frith, Martin C |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5351549/ https://www.ncbi.nlm.nih.gov/pubmed/28039163 http://dx.doi.org/10.1093/bioinformatics/btw742 |
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