<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Wood DE</submitter><funding>Directorate for Computer and Information Science and Engineering</funding><funding>National Institute of General Medical Sciences</funding><funding>NIGMS NIH HHS</funding><pagination>257</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6883579</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>20(1)</volume><pubmed_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.</pubmed_abstract><journal>Genome biology</journal><pubmed_title>Improved metagenomic analysis with Kraken 2.</pubmed_title><pmcid>PMC6883579</pmcid><funding_grant_id>R01 GM118568</funding_grant_id><funding_grant_id>IIS-1349906</funding_grant_id><funding_grant_id>R01-GM118568</funding_grant_id><funding_grant_id>R35-GM130151</funding_grant_id><pubmed_authors>Langmead B</pubmed_authors><pubmed_authors>Wood DE</pubmed_authors><pubmed_authors>Lu J</pubmed_authors></additional><is_claimable>false</is_claimable><name>Improved metagenomic analysis with Kraken 2.</name><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.</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 Nov</publication><modification>2026-05-01T10:31:56.345Z</modification><creation>2020-05-21T21:08:08Z</creation></dates><accession>S-EPMC6883579</accession><cross_references><pubmed>31779668</pubmed><doi>10.1186/s13059-019-1891-0</doi></cross_references></HashMap>