Improved metagenomic analysis with Kraken 2

Derrick E. Wood; Jennifer Lu; Ben Langmead · Genome biology · 2019

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Derrick E. Wood; Jennifer Lu; Ben Langmead

Publisher

Genome biology

Year

2019

Language

English

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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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APA 7

Wood, D. E, Lu, J, & Langmead, B. (2019). Improved metagenomic analysis with Kraken 2. https://doi.org/10.1186/s13059-019-1891-0

MLA

Wood, Derrick E, et al. "Improved metagenomic analysis with Kraken 2." 2019. https://doi.org/10.1186/s13059-019-1891-0.

Chicago

Wood, Derrick E, Jennifer Lu, and Ben Langmead. 2019. "Improved metagenomic analysis with Kraken 2.". https://doi.org/10.1186/s13059-019-1891-0.

Harvard

Wood, D. E, Lu, J. and Langmead, B. 2019, Improved metagenomic analysis with Kraken 2, Genome biology, available at: https://doi.org/10.1186/s13059-019-1891-0 [Accessed 8 Aug. 2026].

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Title: Improved metagenomic analysis with Kraken 2

Author / contributors: Derrick E. Wood; Jennifer Lu; Ben Langmead

Publisher: Genome biology

Publication year: 2019

Language: English

Subjects

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Metagenomics; Biology; Limiting; Computational biology; Genetics; Gene; Engineering; Mechanical engineering