volume 17 issue 12 pages 2815-2839

Metagenome analysis using the Kraken software suite

Publication typeJournal Article
Publication date2022-09-28
scimago Q1
wos Q1
SJR5.854
CiteScore27.6
Impact factor16.0
ISSN17542189, 17502799
General Biochemistry, Genetics and Molecular Biology
Abstract
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. The authors provide a guide to using the Kraken suite for metagenomics analysis, including classification, quantification and visualization, illustrated by quantification of species in the microbiome and identification of pathogens in a clinical sample.
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GOST |
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GOST Copy
Lu J. et al. Metagenome analysis using the Kraken software suite // Nature Protocols. 2022. Vol. 17. No. 12. pp. 2815-2839.
GOST all authors (up to 50) Copy
Lu J., Rincon N., Wood D. E., Breitwieser F. P., Pockrandt C., Langmead B., Salzberg S. L., Steinegger M. Metagenome analysis using the Kraken software suite // Nature Protocols. 2022. Vol. 17. No. 12. pp. 2815-2839.
RIS |
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RIS Copy
TY - JOUR
DO - 10.1038/s41596-022-00738-y
UR - https://www.nature.com/articles/s41596-022-00738-y
TI - Metagenome analysis using the Kraken software suite
T2 - Nature Protocols
AU - Lu, Jennifer
AU - Rincon, Natalia
AU - Wood, Derrick E
AU - Breitwieser, Florian P.
AU - Pockrandt, Christopher
AU - Langmead, Ben
AU - Salzberg, Steven L.
AU - Steinegger, Martin
PY - 2022
DA - 2022/09/28
PB - Springer Nature
SP - 2815-2839
IS - 12
VL - 17
PMID - 36171387
SN - 1754-2189
SN - 1750-2799
ER -
BibTex |
Cite this
BibTex (up to 50 authors) Copy
@article{2022_Lu,
author = {Jennifer Lu and Natalia Rincon and Derrick E Wood and Florian P. Breitwieser and Christopher Pockrandt and Ben Langmead and Steven L. Salzberg and Martin Steinegger},
title = {Metagenome analysis using the Kraken software suite},
journal = {Nature Protocols},
year = {2022},
volume = {17},
publisher = {Springer Nature},
month = {sep},
url = {https://www.nature.com/articles/s41596-022-00738-y},
number = {12},
pages = {2815--2839},
doi = {10.1038/s41596-022-00738-y}
}
MLA
Cite this
MLA Copy
Lu, Jennifer, et al. “Metagenome analysis using the Kraken software suite.” Nature Protocols, vol. 17, no. 12, Sep. 2022, pp. 2815-2839. https://www.nature.com/articles/s41596-022-00738-y.