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Improved metagenomic analysis with Kraken 2.

Derrick E WoodJennifer LuBen Langmead
Published in: Genome biology (2019)
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.
Keyphrases
  • electronic health record
  • machine learning
  • working memory
  • big data
  • deep learning
  • gene expression
  • copy number
  • data analysis
  • dna methylation
  • genome wide
  • amino acid
  • wastewater treatment