latchbio-integration

Latch enables you to build serverless bioinformatics pipelines using Python @workflow and @task decorators, with support for Nextflow and Snakemake integrations. Define modular tasks, configure resources via decorators like small_task and small_gpu_task, and deploy workflows that scale automatically without managing infrastructure.

Yes. Latch supports common bioinformatics workflows including RNA-seq, AlphaFold, and DESeq2 analysis. Use LatchFile and LatchDir for cloud-based data management, typed Python task signatures, and Docker containerization to execute reproducible pipelines at scale.

Install the Latch SDK, authenticate with login, and initialize a new workflow project. Define tasks with Python decorators, specify resource requirements, manage data via LatchFile/LatchDir, and deploy through the registry-driven project system for verified, reproducible execution.

Latch manages data through LatchFile and LatchDir abstractions within registry-based projects, enabling secure cloud storage and retrieval of inputs and outputs. This approach simplifies data passing between tasks and ensures reproducibility across workflow runs.

Latch handles Docker containerization automatically, so you focus on defining workflow logic with Python decorators and task signatures. The framework manages container builds and deployment, reducing operational overhead for bioscience teams.

Yes. Latch supports Nextflow and Snakemake integrations, allowing you to wrap existing pipelines and deploy them as serverless workflows. This enables teams to leverage existing bioinformatics tools while gaining Latch's cloud orchestration and resource management benefits.