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Improved metagenomic analysis with Kraken 2

Open access
Wood, Derrick E., Lu, Jennifer, Langmead, Ben·2019·Genome Biology

Published version of a preprint

Abstract

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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Show all 7 references

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Metadata

Authors
Wood, D. E., Lu, J., & Langmead, B.
Venue
Genome Biology
Published
2019-11-28
Volume
20
Issue
1
Pages
257-257
ISSN
  • 1465-6906 (ISSN-L)
  • 1474-760X
OpenAlex
W2990618091
Cited by
7,061
References
7
FWCI
125.68
Type
journal article
Language
en
Open access
gold
Licence
Funders
  • Directorate for Computer and Information Science and Engineering (IIS-1349906)
  • National Institute of General Medical Sciences (R01-GM118568, R35-GM130151)

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CoChat. (2026). Citation check: Improved metagenomic analysis with Kraken 2. https://app.cochat.ai/papers/10.1186/s13059-019-1891-0
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Wood, D. E., Lu, J., & Langmead, B. (2019). Improved metagenomic analysis with Kraken 2. Genome Biology. https://doi.org/10.1186/s13059-019-1891-0

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