UrQt: an efficient software for the Unsupervised Quality trimming of NGS data

标题
UrQt: an efficient software for the Unsupervised Quality trimming of NGS data
作者
关键词
Quality control, Trimming, Next-generation sequencing, Unsupervised segmentation, Parallel computing
出版物
BMC BIOINFORMATICS
Volume 16, Issue 1, Pages -
出版商
Springer Nature
发表日期
2015-04-29
DOI
10.1186/s12859-015-0546-8

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