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122 GAMBIT: Genomic Approximation Method for Bacterial Identification and Tracking

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Manage episode 405579692 series 3381906
Content provided by Micro Binfie Podcast and Microbial Bioinformatics. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Micro Binfie Podcast and Microbial Bioinformatics or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
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
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141 episodes

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Manage episode 405579692 series 3381906
Content provided by Micro Binfie Podcast and Microbial Bioinformatics. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Micro Binfie Podcast and Microbial Bioinformatics or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://staging.podcastplayer.com/legal.
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
  continue reading

141 episodes

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