Training alignment parameters for arbitrary sequencers with LAST-TRAIN.
Training alignment parameters for arbitrary sequencers with LAST-TRAIN.
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DOI：
10.1093/bioinformatics/btw742
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发表时间：
2017-03-15
期刊：
影响因子：
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通讯作者：
Frith MC
中科院分区：
文献类型：
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作者：
Hamada M;Ono Y;Asai K;Frith MC
LAST-TRAIN通过推断与给定数据集中的置换、插入和缺失频率相匹配的置换和空位分数来提高序列比对准确度。我们已经将其应用于IonTorrent和PacBio RS的DNA读数映射，并且我们表明它降低了Oxford Nanopore读数的参考偏倚。源代码可在http://last.cbrc.jp/免费获得，补充数据可在Bioinformatics online获得。
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. the source code is freely available at http://last.cbrc.jp/ Supplementary data are available at Bioinformatics online.