What problem does it solve?
Latchbio Integration helps you turn bioinformatics analysis code into reproducible, serverless Latch workflows with a clean UI, managed containers, and consistent handling of inputs/outputs and cloud data.
Core Features & Use Cases
- Create and register serverless workflows using Latch SDK with @workflow/@task decorators, plus deploy pipelines with Docker-backed containerization and automatically generated UIs.
- Manage sequencing data in cloud storage via LatchFile and LatchDir, using latch:/// paths and globbing to select inputs reliably.
- Track experiments in a structured Registry (Projects → Tables → Records) with typed columns (including file/directory/link/enum), and update records from within workflows.
- Configure compute resources for real workloads using task decorators (@small_task, @large_task, GPU variants) and @custom_task for CPU/memory/GPU/storage/timeout tuning.
- Use production-grade verified pipelines through latch.verified for common analyses like bulk RNA-seq (DESeq2), AlphaFold/ColabFold, and single-cell tools.
Use it when you need to: deploy an RNA-seq or protein-structure pipeline to a reproducible serverless execution environment, organize samples and results in Registry with traceable metadata, and right-size compute resources (including GPU) to avoid failures and cost waste.
Quick Start
Ask: "Create a Latch workflow that registers an RNA-seq pipeline and writes results to a latch:/// results directory using LatchFile and resource decorators appropriate for CPU or GPU."
