Aaron J. Mussig

University of Queensland
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Articles (8)

Year:

2024

Year:

2023

Year:

2023

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 classification. Availability and implementation GTDB-Tk is implemented in Python and licenced under the GNU General Public Licence v3.0. Source code and documentation are available at: https://github.com/ecogenomics/gtdbtk. Supplementary information Supplementary data are available at Bioinformatics online.

Year:

2022

Year:

2022

Year:

2021

Year:

2020

Year:

2020

Collaborators (3)

Donovan H Parks

University of Queensland

AUSTRALIA
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Christian Rinke

University of Queensland

AUSTRALIA
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Philip Hugenholtz

Director/Professor

University of Queensland

AUSTRALIA
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