Jaebeom Kim

@jbeom.bsky.social

Developing bioinformatics software in Steinegger lab. at Seoul National Univ.

Results of the first ICTV Computational Virus Taxonomy Challenge are out! Metabuli was among the most accurate and fastest classifiers evaluated. doi.org/10.64898/202... Try Metabuli App, a desktop GUI for DB curation, read QC, classification, and visualization: jaebeom-kim.github.io/metabuli-doc/

First community challenge for automated virus taxonomy

The rapid rate of virus discovery renders manual curation by taxonomy experts increasingly impractical, creating a need for reliable software that can reproducibly assign viral contigs to taxa at all ...

doi.org

Our method, savont, for generating amplicon sequence variants (ASVs) for long-read amplicons is now on bioRxiv. Work with @lh3lh3.bsky.social and help from @mkddueholm.bsky.social and team (Marie Riisgaard-Jensen, @kirk3gaard.bsky.social, Kasper Skytte Andersen) github.com/bluenote-157... 1/6

bioRxiv Bioinfo@biorxiv-bioinfo.bsky.social · 2mo ago

Sensitive long-read amplicon sequence variant recovery with savont https://www.biorxiv.org/content/10.64898/2026.05.26.727271v1

Surprised to discover that Thermo Fisher appears to show a fake western blot for the validation of one of their p53 antibodies. I've added a diagram to show the very similar bands. This does not appear to be one of the "published figures" but their own internal data.

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Antimicrobial resistance (AMR) is a growing health threat, making infections harder to treat and complicating routine medical care. EMBL-EBI’s new AMR portal brings together laboratory resistance data and bacterial genomes in one open platform. #WAAW2025 #ActOnAMR www.ebi.ac.uk/about/news/t... 🧬💻

A new gateway to global antimicrobial resistance data

New online portal connects bacterial genomes with experimental resistance data to support antimicrobial resistance research.

ebi.ac.uk

I'm presenting a poster about Metabuli, a metagenomic taxonomic classifier leveraging both DNA and protein sequences, at #RECOMB2025! Please come and share yout thoughts!

Martin Steinegger 🇺🇦@martinsteinegger.bsky.social · last yr.

Visit our posters at #RECOMB2025 for: Structural: MSAs, Virus DB, Core Genes, Motif Discovery, Multimer Clustering & Search, pLM Foldseek, Environmental analysis Metagenomics: Classification & Metabuli App GPU-based & RNA search, Proteome clustering, Novel Ribozyme discovery & get Marv stickers!

Big Fantastic Virus Database (BFVD) version 2 improves 31% of predictions through 12 ColabFold recycles. PAEs and MSAs now also available for download and in the webserver. 🌐https://bfvd.foldseek.com 💾https://bfvd.steineggerlab.workers.dev/ 1/3

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