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October 7, 2022Bioinformatics2,092 citationsOpen Access

GTDB-Tk v2: memory friendly classification with the genome taxonomy database

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PCPierre-Alain ChaumeilEcogenomics (Japan)AMAaron J. MussigThe University of Queensland
Philip Hugenholtz
Philip HugenholtzLeiden University

Key Points

  • The objective is to enhance classification efficiency in genomic studies using the Genome Taxonomy Database.
  • Introduced GTDB-Tk v2 for classifying genomes
  • Optimized algorithms for better memory management
  • Provided supplementary data for additional insights
  • Demonstrated significant improvements in memory usage compared to previous versions
  • Achieved faster classification times without loss of accuracy
  • Supported by supplementary data available at Bioinformatics online

Abstract

Supplementary data are available at Bioinformatics online.

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Cite This Study

Chaumeil et al. (2022) studied this question.

synapsesocial.com/papers/69d6f4da733a2b54c8aa8749https://doi.org/10.1093/bioinformatics/btac672
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