latchbio-integration

To build and deploy bioinformatics workflows on Latch, you use the Latch SDK decorators to define serverless pipelines, register them, and package Python, Nextflow, or Snakemake scripts for reproducible execution.

Yes, Latch supports deploying both Snakemake and Nextflow pipelines. You can package existing workflows using the Latch SDK to run them serverlessly alongside custom Python pipelines.

You manage cloud files and track samples in Latch workflows by using LatchFile and LatchDir for cloud paths, and organizing metadata in Registry tables to link sample records directly to workflow outputs.

Yes, Latch supports GPU-accelerated computation for tasks like AlphaFold prediction. You can choose appropriate CPU, GPU, memory, and storage settings when defining your workflow resources.

The best way to organize RNA-seq analysis pipelines on Latch is to combine your custom pipeline definitions with verified workflow integrations, using Registry tables to track samples and LatchFile paths for cloud data.

No, you do not need verified workflow integrations to run single-cell analysis on Latch. You can build custom pipelines, but combining them with verified workflows ensures reproducible execution and tested parameters.