Wytamma

@wytamma.bsky.social

Enjoying the little things like antibodies, ion channels and pip installs - technical biologist building tools and studying diseases ❤️🐢

One of the reasons I'm interested in local AI models is you're data can't be used for training - people say “I already put my data in onedrive so what's the difference to uploading it to an AI model?” Well one difference is that onedrive won't use your data to scoop you

Carl Zimmer@carlzimmer.com · 4d ago

Four days ago, a scientist was surprised by the news that Anthropic discovered new virus genes for making DNA. He says he’s been studying them for years—and feeding his data to Anthropic’s AI as part of his own research. Coincidence? Here’s my story. nyti.ms/3VSWayc

Clockor2 v1.12.1 adds date-randomisation tests 🎉 Date randomisation is a permutation test for temporal signal: does the observed relationship between sampling time and genetic divergence exceed what we would expect if dates were unrelated to sequences?

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New work on using transformers (using gene order) for tasks in genomic epidemiology: www.biorxiv.org/content/10.6... We trained BART models (w/ extended context windows) on E.coli and S.pneumo from AllTheBacteria and tested if the model could find new strains, insertions (blaCTX-M) and co-selection

Embeddings of gene order from PanBART model
Sam Horsfield@samuelhorsfield.bsky.social · 5mo ago

Our new preprint is out! We train a transformer on gene order and gene content of bacterial pathogens, applying it to a range of epidemiological and evolutionary analyses (1/8) www.biorxiv.org/content/10.6...

At the #SnakemakeHackathon2026 in Munich last week I complied Snakemake to #Wasm and made a client-side webapp for creating and sharing workflows -> snakemake.github.io/snakemake-wa.... It has support for python, R, and a 32bit linux environment all running in your browser ❤️ 🐍

snakemake.github.io

Johannes Köster@johanneskoester.bsky.social · 7mo ago

Today, the #SnakemakeHackathon2026 at the TU Munich ended with the release of Snakemake 9.17! I want to thank all participants and my co-organizers! You have been incredibly dedicated and we improved a ton of things throughout the ecosystem.

Very happy to see Wasm gaining traction as a low barrier to entry alternative for programming thanks to the massive efforts by @quantstack.bsky.social 🎉 We're collecting Wasm resources for bioinformatics and beyond at wasmodic.github.io

wasmodic.github.io

Zamin Iqbal@zaminiqbal.bsky.social · 7mo ago

@wytamma.bsky.social 's WASM tools have transformed my experience of teaching Python to first year undergraduate biologists this year. Since last year, I've been teaching ~400 undergrads how to code (functions, lists, dictionaries, loops) over (one hour intro lecture +) two 2-hour practicals. 1/n

🚀 Just launched: GraphBin Visualise (WASM) a browser-based visualisation tool for comparing initial metagenomic binning results vs refined results from GraphBin - all running in your browser, no backend required. (1/n) #bioinformatics #metagenomics #binning #webapp #pyiodide #webassembly

GitHub - metagentools/graphbin-visualise-wasm-app: GraphBin Visualise WebAssembly App

GraphBin Visualise WebAssembly App. Contribute to metagentools/graphbin-visualise-wasm-app development by creating an account on GitHub.

github.com

This was one of the best workshops I have ever been to. I came out of it with a Wasm app for making pharokka/phold/phynteny's genome maps - available at gbouras13.github.io/phold-plot-w... It runs the browser almost instantly - please give it a go with your phages of interest! #ABACBS2025

phold_plots — Pyodide

gbouras13.github.io

Wytamma@wytamma.bsky.social · 10mo ago

Client-side bioinformatics workshop done ✅ massive thanks to legends @lonsbio.bsky.social @lfeatherstone.bsky.social @torstenseemann.bsky.social #ABACBS2025