The Intelligent Engine for Life Sciences. From the Creators of @nextflow.io and @multiqc.info
Seqera
Loading...
With Seqera, ALLOX achieved a 10x reduction in GPU compute costs, a 50% reduction in compute support burden, and enabled their wet-lab teams to self-serve.
📚 Read the case study: hubs.la/Q04kJcdD0
🎯 ALLOX are building scalable experimental and computational platforms to identify functional protein pockets, uncover novel therapeutic targets, and develop the next generation of tools for programmable biology and drug development. But, ALLOX faced key challenges🧵
Bioinformatics has historically lived in a silo, disconnected from the wet lab. We've partnered with Benchling to change that.👩🔬 Bench scientists can now launch and track @nextflow.io pipelines, investigate results, and spin up interactive environments on Seqera, all from Benchling.
❌ Integration complexity connecting and orchestrating across diverse tools
❌ Managing GPUs, spot instances, cloud configuration at scale
❌ Lack of wet lab self-serve resulted in dependency on compute team
❌ Continously envolving lab protocols required constant pipeline adaptation
Seqera
💡From Copilots to AI CLIs to Co-Scientists. The way we work with AI has changed fast. Agents don't just help us learn and understand anymore. They act on our behalf.🧵
In just 6 months, we went from chatting with AI in a browser to working alongside agents that can set up infrastructure, run @nextflow.io pipelines, and interpret results.
Connecting lab data to computational analysis accelerates scientific iteration and enables seamless downstream analysis, streamlining the entire R&D life cycle.
www.benchling.com/news/benchli...
📚 Read the Copilot to Co-Scientist blog: hubs.la/Q04lcKds0
This October, join us in Barcelona for #Nextflow Training or the @nf-co.re Hackathon to sharpen your skills and collaborate with the community. Registration is now open ⬇️
🔸 Training: hubs.la/Q04k3sjz0
🔸 Hackathon: hubs.la/Q04k3w9G0
