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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...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5351549/ https://ncbi.nlm.nih.gov/pubmed/28039163 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btw742 |
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