GAMBIT (Genomic Approximation Method for Bacterial Identification and Tracking) is a tool for rapid taxonomic identification of microbial pathogens.
It uses an efficient genomic distance metric along with a curated database of approximately 50,000 reference genomes (derived from NCBI
RefSeq) to identify genome assemblies from across the Bacterial kingdom in seconds.
See below for basic installation and usage instructions, or check out the
documentation for more detailed information and
a basic tutorial.
GAMBIT has been a personal project of mine for many years. Although there have been numerous
contributors to the publication, it is not a product of any lab or institution.
GAMBIT is provided as free software under the terms of the AGPLv3 license.
It is not covered by any type of software patent.
Publication
Lumpe J, Gumbleton L, Gorzalski A, Libuit K, Varghese V, et al. (2023) GAMBIT (Genomic Approximation
Method for Bacterial Identification and Tracking): A methodology to rapidly leverage whole genome
sequencing of bacterial isolates for clinical identification. PLOS ONE 18(2): e0277575.
https://doi.org/10.1371/journal.pone.0277575
See jlumpe/gambit-publication for a reproducible
workflow to generate all analyses and figures in the paper.
Contact
Please contact Jared Lumpe at jared@jaredlumpe.com with any questions or feedback.
Installation
Install the Python library from Bioconda:
conda install -c bioconda gambit
Then download the reference database files and place them in a directory of your choice:
Positional arguments are one or more FASTA files containing query genome assemblies. You must
provide the path to the directory containing the database files using either the -d option
(before the query subcommand) or by setting the GAMBIT_DB_PATH environment variable.
See the documentation for additional details on the command line interface and description of the output.
GAMBIT
GAMBIT (Genomic Approximation Method for Bacterial Identification and Tracking) is a tool for rapid taxonomic identification of microbial pathogens. It uses an efficient genomic distance metric along with a curated database of approximately 50,000 reference genomes (derived from NCBI RefSeq) to identify genome assemblies from across the Bacterial kingdom in seconds.
See below for basic installation and usage instructions, or check out the documentation for more detailed information and a basic tutorial.
About
Copyright © 2016-2024 Jared Lumpe
GAMBIT has been a personal project of mine for many years. Although there have been numerous contributors to the publication, it is not a product of any lab or institution.
GAMBIT is provided as free software under the terms of the AGPLv3 license. It is not covered by any type of software patent.
Publication
Lumpe J, Gumbleton L, Gorzalski A, Libuit K, Varghese V, et al. (2023) GAMBIT (Genomic Approximation Method for Bacterial Identification and Tracking): A methodology to rapidly leverage whole genome sequencing of bacterial isolates for clinical identification. PLOS ONE 18(2): e0277575. https://doi.org/10.1371/journal.pone.0277575
See jlumpe/gambit-publication for a reproducible workflow to generate all analyses and figures in the paper.
Contact
Please contact Jared Lumpe at jared@jaredlumpe.com with any questions or feedback.
Installation
Install the Python library from Bioconda:
Then download the reference database files and place them in a directory of your choice:
Basic usage
Positional arguments are one or more FASTA files containing query genome assemblies. You must provide the path to the directory containing the database files using either the
-doption (before thequerysubcommand) or by setting theGAMBIT_DB_PATHenvironment variable.See the documentation for additional details on the command line interface and description of the output.