基因组
生物
限制
计算生物学
计算机科学
遗传学
基因
工程类
机械工程
作者
Derrick E. Wood,Jennifer Lu,Ben Langmead
出处
期刊:Genome Biology
[Springer Nature]
日期:2019-11-28
卷期号:20 (1)
被引量:2794
标识
DOI:10.1186/s13059-019-1891-0
摘要
Although Kraken's k-mer-based approach provides a fast taxonomic classification of metagenomic sequence data, its large memory requirements can be limiting for some applications. Kraken 2 improves upon Kraken 1 by reducing memory usage by 85%, allowing greater amounts of reference genomic data to be used, while maintaining high accuracy and increasing speed fivefold. Kraken 2 also introduces a translated search mode, providing increased sensitivity in viral metagenomics analysis.
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