基因组
计算机科学
一套
计算生物学
协议(科学)
可视化
软件
管道(软件)
生物
生物信息学
数据挖掘
遗传学
操作系统
医学
基因
历史
病理
考古
替代医学
作者
Jennifer Lu,Natalia Rincon,Derrick Wood,Florian P. Breitwieser,Christopher Pockrandt,Ben Langmead,Steven L. Salzberg,Martin Steinegger
出处
期刊:Nature Protocols
[Springer Nature]
日期:2022-09-28
卷期号:17 (12): 2815-2839
被引量:208
标识
DOI:10.1038/s41596-022-00738-y
摘要
Metagenomic experiments expose the wide range of microscopic organisms in any microbial environment through high-throughput DNA sequencing. The computational analysis of the sequencing data is critical for the accurate and complete characterization of the microbial community. To facilitate efficient and reproducible metagenomic analysis, we introduce a step-by-step protocol for the Kraken suite, an end-to-end pipeline for the classification, quantification and visualization of metagenomic datasets. Our protocol describes the execution of the Kraken programs, via a sequence of easy-to-use scripts, in two scenarios: (1) quantification of the species in a given metagenomics sample; and (2) detection of a pathogenic agent from a clinical sample taken from a human patient. The protocol, which is executed within 1-2 h, is targeted to biologists and clinicians working in microbiome or metagenomics analysis who are familiar with the Unix command-line environment.
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