latchbio-integration

Build serverless bioinformatics workflows in Python using the Latch SDK by defining pipelines with @workflow and @task decorators. This framework simplifies pipeline creation, deployment, and cloud management for reproducible scientific computing.

Yes, you can integrate existing Nextflow or Snakemake pipelines into a serverless cloud environment. The Latch SDK supports wrapping these pipeline frameworks, allowing you to deploy them reproducibly without managing the underlying cloud infrastructure.

Manage cloud data for bioinformatics pipelines using LatchFile and LatchDir objects for cloud storage, alongside the Latch Registry for structured data organization. This handles file inputs and outputs seamlessly within your Python workflow definitions.

Configure compute resources such as CPU, GPU, and memory directly within your Python task definitions. The Latch SDK allows you to specify exact resource requirements for individual tasks, ensuring your bioinformatics workflows scale efficiently on the cloud.

The best way to create a reproducible RNA-seq pipeline is by defining tasks for alignment, quantification, and differential expression using Latch Python decorators. Manage inputs with LatchFile and deploy it as a serverless workflow for easy sharing and execution.