#NextflowSummit Track 7: AI for Bioinformatics.✨ Follow along for talks from @mit.edu, Altos Labs, Deep Mountain Software, STaiMIC.📹 Register to join: hubs.la/Q04B5wPd0
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🔁 Before we trust a simulation of the cell, can we rerun the pipeline that built it and get the same answer twice? Vaibhava Lakshmi Ravideshik (@mit.edu) explores how Nextflow could make biological world models reproducible. hubs.la/Q04zsXtS0 #NextflowSummit
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🤖 Automation and agentification: Dongze He shows how Altos Labs automates mass spec analysis on @nf-co.re pipelines from instrument to quant table, and uses an AI agent to build ontology-based sample tables for public data reanalysis. hubs.la/Q04zf_Rp0 #NextflowSummit
✨ Prompts as samples, model weights as reference genomes: Sam Ireland of Deep Mountain Software shows how nf-diffuser applies Nextflow and @nf-co.re conventions to GenAI, running Stable Diffusion as composable modules. hubs.la/Q04zs-Bz0 #NextflowSummit
Wrap-up: Oscar Echeverri of STaiMIC on HealthSeq-nf Learning Lab 🔧 Beginners learn Nextflow by repairing workflows that are computationally broken or scientifically unsuitable, starting with human genomics and building toward multiomics. hubs.la/Q04B5wC80 #NextflowSummit