Donovan H Parks
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Articles (10)
Year:
2023
Year:
2023
Year:
2023
Year:
2022
Year:
2022
Year:
2022
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:
2021
Collaborators (18)
Mads Albertsen
Aalborg University
Nachshon Siboni
University of Sydney
Francesco Rubino
The Queen's University Belfast
Ben Woodcroft
Queensland University of Technology
Joel Johnson
Professor
University of New Hampshire
Joanne Emerson
Assistant Professor
University of California, Davis
Anna-Louise Reysenbach
Portland State University
Christian Rinke
University of Queensland
Luis M Rodriguez-R
Assistant Professor
University of Innsbruck
Martin Ostrowski
University of Sydney
Aaron J. Mussig
University of Queensland
Qiyun Zhu
Assistant Professor
Arizona State University
Rebecca B. Neumann
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Brian Hedlund
Professor
University of Nevada
Lasse Riemann
Professor
University of Copenhagen
Søren Michael Karst
Aalborg University
Philip Hugenholtz
Director/Professor
University of Queensland
Gene Tyson
Queensland University of Technology
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