Bioinformatics and AI for biology research. Building Bio-AI: your whole analysis, from question to result, in one conversation. Free trial for researchers.kcinformatics.co.uk/biolab/bio-ai United KingdomJoined October 2026
Instead of spending days wiring up Bismark, wgbstools, UXM deconvolution, ChromBPNet, and MethylGPT on an HPC cluster, you can run the entire workflow in one place with Bio-AI on BioLab:
kcinformatics.co.uk/biolab
If every cell in your body has the exact same DNA sequence, how can a blood draw reveal that 1.4% of your floating DNA came from the colon?
How epigenetic CpG barcodes (UXM & MethylGPT) trace cell-free DNA origin, and how TCGA & ChromBPNet show MLH1 promoter silencing in 2 minutes 🧬👇
@genentech Great to see the new oncology data coming out of #ESMO26, especially around biomarker stratification and early ctDNA dynamics.#ESMO26, especially around biomarker stratification and early ctDNA dynamics.
@LingYang_PU Evaluating generated hypotheses against held-out future papers is such a clean benchmark. Curious how well DiscoveryRSI holds up on wet-lab biology and target discovery tasks 🧬
@NatureBiotech@HIT_1920 Long reads have rescued so many complex SVs that short-read callers split into noisy breakends, especially in repetitive clinical regions.
@GoogleDeepMind@GoogleForHealth Pairing variant pathogenicity models like AlphaGenome and AlphaMissense with structural folding in one workflow completely changes how fast rare disease variants can be triaged.
@oneeyekeh I've been automating video generation for marketing purposes, and offering this as a service. If I'm able to test this and get better results than omni flash I'll give credit where it's due
@thepaulthomson@OpenAI Hello! Congratulations on the position. I'm a founder working with AI for molecular biology. Connecting tools, databases and making bioinformatics research a fast, conversational experience. I'm also using AI to develop and test new tools, such as AI atomic simulation for assays.
The hardest part of bioinformatics usually isn't the biology. It's reshaping the same data for 10 different tools.
Here is Bio-AI investigating phenylketonuria (PKU) from one plain-English question:
- Scores PAH variants (Evo 2 + AlphaGenome)
- Predicts 3D structure + designs PCR & CRISPR guides
Free for researchers: kcinformatics.co.uk/biolab/bio-ai
Work in a lab? Which analysis would you most like to stop doing by hand?
#bioinformatics#genomics#CRISPR#compbio
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