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Improved metagenomic analysis with Kraken 2
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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6883579/ https://www.ncbi.nlm.nih.gov/pubmed/31779668 http://dx.doi.org/10.1186/s13059-019-1891-0 |
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author | Wood, Derrick E. Lu, Jennifer Langmead, Ben |
author_facet | Wood, Derrick E. Lu, Jennifer Langmead, Ben |
author_sort | Wood, Derrick E. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6883579 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68835792019-12-03 Improved metagenomic analysis with Kraken 2 Wood, Derrick E. Lu, Jennifer Langmead, Ben Genome Biol Short Report 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. BioMed Central 2019-11-28 /pmc/articles/PMC6883579/ /pubmed/31779668 http://dx.doi.org/10.1186/s13059-019-1891-0 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Short Report Wood, Derrick E. Lu, Jennifer Langmead, Ben Improved metagenomic analysis with Kraken 2 |
title | Improved metagenomic analysis with Kraken 2 |
title_full | Improved metagenomic analysis with Kraken 2 |
title_fullStr | Improved metagenomic analysis with Kraken 2 |
title_full_unstemmed | Improved metagenomic analysis with Kraken 2 |
title_short | Improved metagenomic analysis with Kraken 2 |
title_sort | improved metagenomic analysis with kraken 2 |
topic | Short Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6883579/ https://www.ncbi.nlm.nih.gov/pubmed/31779668 http://dx.doi.org/10.1186/s13059-019-1891-0 |
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