articleBioinformaticsOct 7, 2022HYBRID OA

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

The University of Queensland

PubMed
Indexed incrossrefdoajpubmed

Abstract

SUMMARY: The Genome Taxonomy Database (GTDB) and associated taxonomic classification toolkit (GTDB-Tk) have been widely adopted by the microbiology community. However, the growing size of the GTDB bacterial reference tree has resulted in GTDB-Tk requiring substantial amounts of memory (∼320 GB) which limits its adoption and ease of use. Here, we present an update to GTDB-Tk that uses a divide-and-conquer approach where user genomes are initially placed into a bacterial reference tree with family-level representatives followed by placement into an appropriate class-level subtree comprising species representatives. This substantially reduces the memory requirements of GTDB-Tk while having minimal impact on…

Citation impact

1,842
total citations
FWCI
132.01
Percentile
100%
References
8
Citations per year

Authors

4

Topics & keywords

Keywords
  • Documentation
  • Computer science
  • Python (programming language)
  • Taxonomy (biology)
  • Source code
  • Genome
  • Database
  • Information retrieval
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