This week, we hosted Dr. @claudiagentile_ and colleagues from @DanaFarber Cancer Institute and @harvardmed for an online seminar. We reanalyzed data from Desanlis et al., 2020 (@Nature Communications) to demonstrate how Drylab supports epigenomics workflows. Thanks Dr. Gentile for making this happen! Use case → thedrylab.com/use-case/singl… Try Drylab→ app.thedrylab.com/auth

Is your insight truly novel? Our Literature Double-Check compares your results with published studies in real time. Example Chat here: app.thedrylab.com/share/zL2U… ➤Try on Drylab: lnkd.in/gS8TNk3v #Drylab #LiteratureDoubleCheck #ResearchValidation #Bioinformatics #AIforScience #ComputationalBiology

‘@’ the most complete life-science toolkit. 84 databases. 50 accelerated tools. 1,000 packages are now One command away 🙌 “Combine @DiffDock with @boltz-2 for virtual screening.” #bioinformatic #CompBio #ComputationalBiology #Bioinformatics #AIinBiology #ResearchTools #Nextflow

The official CellRank protocol has just been published in @Nature Protocols!(nature.com/articles/s41596-0…) CellRank has set a strong standard for modeling cell fate trajectories in single-cell data. But reproducing these workflows often requires hours of environment setup and troubleshooting. We tested how quick and accurate we could replicate a pancreatic endocrinogenesis analysis. After calling '@' Cellrank in Drylab, key outputs: mRNA trends, RNA velocity streams, and latent time were generated in 20 minutes. Full chat workflow: app.thedrylab.com/share/Ufgn… #SingleCell #scRNAseq #CellRank #ComputationalBiology #Bioinformatics

We added a small, but genuinely useful feature in Drylab Updates 3.0: You can now design figures by dropping a style reference from any paper or journal directly into the chatbox. Drylab applies that visual style to your own results. That means less time formatting, more time sharing the science. More updates coming this week! ➤Try on Drylab: app.thedrylab.com/auth ➤Try on Drylab Desktop App: thedrylab.com/desktop-app-do…

AI-enabled Molecular Stratification in Metastatic Breast Cancer 🧬 By integrating gene expression, clinical metadata, and Drylab AI Analysis, researchers identify prognostic signals 14× faster, with full reproducibility and transparent code. thedrylab.com/use-case/compr…

Scientific data belongs where it was generated. Drylab Desktop App makes it real, for the first time in life-sciences AI. Zero upload. Zero exposure. Built for terabytes. Now Available on macOS. Windows. Linux. thedrylab.com/desktop-app-do…

Yes! Each workflow includes a built-in code environment (so you can start without downloading R/RStudio), with transparent code and version control. We're also adding a shareable environment feature to ensure reproducibility.

Drylab creates custom analysis plans based on your prompts and raw data. Unlike generic AI, it's trained on biological datasets and workflows, making it better at understanding real research. You’ll always review and co-edit the plan before it runs.

AI creates the plan, asks for your input, and then works its magic — generating final reports in minutes🫢

Drylab supports multimodal datasets, including—but not limited to—genomics, transcriptomics, proteomics, epigenomics, metabolomics, imaging, spatial omics, and clinical or phenotypic data 🧫🧪🧬