Drylab AI

Handle all bioinformatics workflows in one AI-automated platform.

[Drylab AI @DrylabAI]

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 → https://t.co/e2LbmKzow3
Try Drylab→ https://t.co/eOHcmexuFQ

[Drylab AI @DrylabAI]

Is your insight truly novel? Our Literature Double-Check compares your results with published studies in real time.

Example Chat here: https://t.co/4lP94dWFy4
➤Try on Drylab: https://t.co/Bk3Nam7x3m

#Drylab
#LiteratureDoubleCheck
#ResearchValidation
#Bioinformatics
#AIforScience
#ComputationalBiology

[Drylab AI @DrylabAI]

‘@’ 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

[Drylab AI @DrylabAI]

The official CellRank protocol has just been published in @Nature Protocols!(https://t.co/j6ITF2L1vd)

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: https://t.co/Xg929yDUEB

#SingleCell #scRNAseq #CellRank #ComputationalBiology #Bioinformatics

[Drylab AI @DrylabAI]

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: https://t.co/eOHcmexuFQ
➤Try on Drylab Desktop App: https://t.co/xci273eyRt

[Drylab AI @DrylabAI]

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.
https://t.co/0IQmIdmUdt

[Drylab AI @DrylabAI]

➤View Full Chat Conversation Here: https://t.co/uERLs9nEfi

➤Try Spatial Transcriptomics on Drylab Desktop App to preserve data locality Here: https://t.co/DCn72I9viV

[Drylab AI @DrylabAI]

Drylab AI in Spatial Transcriptomics

NTU researchers used Drylab to
- Run spatial clustering
- Compare HC vs SOR-trained mouse brains
- Finish end-to-end analysis in 20 minutes

What stood out wasn’t dramatic brain rewiring, but subtle, training-associated compositional shifts.

[Drylab AI @DrylabAI]

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. https://t.co/DCn72I9viV

[Drylab AI @DrylabAI]

Our Discord is where we share everyday use cases, join us 🧬https://t.co/W4d61KbsF6 🧬

[Drylab AI @DrylabAI]

We asked Drylab to help design protocols.

It said: “Sure, I’ve read 10,000 papers.” Now it’s suggesting steps, optimizing workflows, checking what’s in your lab fridge, and politely pretending your spreadsheets make sense.

🧪 https://t.co/hwdKoE7nDW

[Drylab AI @DrylabAI]

Absolutelyyy. In fact, we showcases our whole planning of releases for use cases here: https://t.co/L4hJ73SP68

[Drylab AI @DrylabAI]

One of our shining use cases is scRNA-seq, with an average runtime of ~7 minutes.

🧬3 questions we usually receive from our early testers.
↓
View under threads

https://t.co/P8KrWf7xdD

#scRNAseq #Research #TechNews #AIBiology #DrylabAI #AgenticAI #Bioinformatics #lifesciences

[Drylab AI @DrylabAI]

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 AI @DrylabAI]

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.

[Drylab AI @DrylabAI]

Jump into your code, make edits yourself, or just tell your AI what to change. Total control. Fully flexible💕

[Drylab AI @DrylabAI]

7 days of analysis. Now done in 7 minutes.

AI for biologists is here
🧪🧬🧫🔬👩🏻‍🔬🧑🏾‍🔬🧑‍🔬👩🏼‍🔬

https://t.co/P8KrWf7xdD

#scRNAseq #Research #TechNews #AI #DrylabAI #AgenticAI #Bioinformatics #LifeScience #HealthTech #AIBiology #Bioinformatics

[Drylab AI @DrylabAI]

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

[Drylab AI @DrylabAI]

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