Scientists in drug discovery work with a lot of data. They're expected to translate this complexity into clear high-impact decisions that can shape entire drug programs. BioBox simplifies this with our Graph Reasoning Models! Learn more here 👇

🚀Exciting news to share! Our latest update unleashes the BioBox Knowledge Engine. Built upon 80k+ datasets and 4.6 billion observations, the engine is the most powerful way for scientists to identify and validate targets faster. Contact us to learn more!

The complexity of contrasting #SingleCell datasets makes cell type identification tricky - that's why we auto-generate genes that are conserved across groups for each cluster. Check it out below!

Generate deeper insights from #scRNAseq data Subset the data based on cell populations and groups. Users can now quickly analyze and discern cell identity, explore expression levels of your genes of interest, visualize data as violin & UMAP plots, and explore pathway enrichment.

A glimpse of our CPO, Lauren Phillips at the @ElevateTechCA conference yesterday, learning from amazing thought leaders in the AI and Machine Learning space. #ElevateFest2022 Thanks to @UofT Black Founder's Network for the invitation!

One more week. Get notified when we launch: biobox.io/scrnaseq-waitlist #singlecell #bioinformatics #genomics #scRNAseq

Data interrogation. Powerful integrations. Meaningful insights. Coming Soon... #scRNAseq

🎉 New on BioBox: Genome Browser for ChIP/ATACseq data 🎉 👉 Upload BED and BigWig files for human & mouse data 👉 View public ChIP/ATACseq data from the #ENCODE database 👉 Retrieve multi-omic observations across all of your datasets on the platform Check it out!

Busy booth traffic early afternoon 🚶‍♀️🚶🚶‍♂️@CollisionHQ

Come visit our Director of Marketing, Zoë, at our booth #B1109 at @CollisionHQ! Let’s meet at the intersection between science and technology.