We discuss GAMBIT, software for accurately classifying bacteria and eukaryotes using a targeted k-mer based approach. 

GAMBIT software: https://github.com/gambit-suite/gambit
GAMBIT suite: https://github.com/gambit-suite

GAMBIT (Genomic Approximation Method for Bacterial Identification and Tracking): A methodology to rapidly leverage whole genome sequencing of bacterial isolates for clinical identification. 
https://doi.org/10.1371/journal.pone.0277575

TheiaEuk: a species-agnostic bioinformatics workflow for fungal genomic characterization
https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2023.1198213/full

122 GAMBIT: Genomic Approximation Method for Bacterial Identification and Tracking

Microbial Bioinformatics is a rapidly changing field marrying computer science and microbiology. Join us as we share some tips and tricks we’ve learnt over the years. If you’re student just getting to grips to the field, or someone who just wants to keep tabs on the latest and greatest - this podcast is for you. 

The hosts are Dr. Lee Katz from the Centres for Disease Control and Prevention (US), Dr. Nabil-Fareed Alikhan from the University of Oxford (UK), and Prof. Andrew Page from Theiagen Genomics (UK) and bring together years of experience in microbial bioinformatics.

The opinions expressed here are our own and do not necessarily reflect the views of Centres for Disease Control and Prevention, University of Oxford or Theiagen Genomics.

Intro music : Werq - Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 3.0 License
http://creativecommons.org/licenses/by/3.0/

Outro music : Scheming Weasel (faster version) - Kevin MacLeod (incompetech.com)
Licensed under Creative Commons: By Attribution 3.0 License
http://creativecommons.org/licenses/by/3.0/

Question and comments? microbinfie@gmail.com

122 GAMBIT: Genomic Approximation Method for Bacterial Identification and Tracking

Micro Binfie Podcast