Builds and deploys serverless bioinformatics workflows using the Latch SDK and cloud infrastructure.
This skill empowers bioinformaticians and developers to architect, deploy, and manage complex genomic pipelines on the Latch platform. It provides specialized implementation patterns for creating Python-based workflows using @workflow and @task decorators, managing massive datasets with LatchFile and LatchDir, and orchestrating high-performance computing resources including multi-GPU configurations for tools like AlphaFold. By bridging the gap between local development and serverless cloud execution, this skill ensures scientific workflows remain reproducible, scalable, and integrated with the Latch Registry for structured data tracking.
Key Features
01Serverless workflow orchestration using Python decorators (@workflow/@task)
02Integration with production-ready verified workflows for RNA-seq and CRISPR analysis
031 GitHub stars
04Cloud data abstractions with LatchFile, LatchDir, and Latch Registry
05Native support for containerizing Nextflow and Snakemake pipelines
06Automated resource configuration for high-memory and GPU (A100/V100) tasks
Use Cases
01Deploying scalable RNA-seq and differential expression pipelines to the cloud
02Organizing large-scale sequencing data and metadata within the Latch Registry system
03Running GPU-accelerated protein structure predictions with AlphaFold and ColabFold
