Ktrim: an extra-fast and accurate adapter- and quality-trimmer for sequencing data
Author(s) -
Kun Sun
Publication year - 2020
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btaa171
Subject(s) - adapter (computing) , computer science , preprocessor , bottleneck , mit license , data pre processing , data mining , software , embedded system , computer hardware , operating system , artificial intelligence
Next-generation sequencing (NGS) data frequently suffer from poor-quality cycles and adapter contaminations therefore need to be preprocessed before downstream analyses. With the ever-growing throughput and read length of modern sequencers, the preprocessing step turns to be a bottleneck in data analysis due to unmet performance of current tools. Extra-fast and accurate adapter- and quality-trimming tools for sequencing data preprocessing are therefore still of urgent demand.
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