What problem does it solve?
Latchbio Integration eliminates the manual effort of packaging, deploying, and managing bioinformatics workflows by turning Python pipelines (and Nextflow/Snakemake pipelines) into serverless, reproducible executions with cloud-backed inputs/outputs.
Core Features & Use Cases
- Workflow creation & deployment: Build serverless pipelines using the Latch SDK with @workflow/@task decorators and deploy them with automatic containerization and a no-code UI.
- Cloud data management: Use LatchFile and LatchDir abstractions for consistent file/directory handling via latch:/// paths, including glob-based selection and automatic transfers.
- Execution and compute configuration: Right-size resources with predefined task decorators and fine-tune CPU, memory, storage, timeouts, and GPU settings for production reliability.
- Verified workflow reuse: Start faster by running production-grade, pre-built bioinformatics workflows (e.g., bulk RNA-seq, DESeq2, AlphaFold/ColabFold, and single-cell tools).
This is useful when you need to move from a local analysis script to a shareable pipeline that colleagues can run consistently—such as converting an existing Nextflow-based RNA-seq process into a Latch workflow and managing inputs/outputs through Latch Registry and latch:/// paths.
Quick Start
Ask the AI to generate a minimal Latch workflow that defines a @small_task to process a LatchFile input and wrap it in a @workflow that returns the resulting LatchFile.
