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vivekswarup.bsky.social

@vivekswarup.bsky.social
15 followers 41 following 4 posts
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vivekswarup.bsky.social @vivekswarup.bsky.social · 21/04/2026
Runs fully on your HPC with local open-source LLMs (Llama, Qwen, DeepSeek) via Ollama if you're at a clinical institution. No data leaves your infrastructure.
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vivekswarup.bsky.social @vivekswarup.bsky.social · 21/04/2026
For bioinformaticians: AI handles environment setup, parameter sweeps, QC, error recovery. Test 3 hypotheses in parallel instead of 1. Prototype new tools and wrappers in hours, not weeks.
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vivekswarup.bsky.social @vivekswarup.bsky.social · 21/04/2026
The biologist who generated the data should be the one to analyze it. With Operon — in open beta today — they can. Open-source, free for academic labs. Mac, Windows, Linux.
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vivekswarup.bsky.social @vivekswarup.bsky.social · 21/04/2026
Most biologists today hand off analysis to a core or bioinformatician and wait weeks for results stripped of biological context. Operon closes that gap. Single-cell, RNA-seq, ATAC, GWAS, proteomics — a bench scientist with no coding background can run a real analysis in an afternoon.
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