What is LatchBio Integration used for?

It is used to build, deploy, and manage bioinformatics workflows as serverless pipelines on the Latch platform using Python-based tools.

Does this skill support GPU-accelerated tasks?

Yes, it provides pre-configured decorators like @small_gpu_task and @large_gpu_task to support heavy workloads like AlphaFold.

How does it handle large biological datasets?

It uses LatchFile and LatchDir abstractions for cloud storage and the Registry system for structured data organization and sample tracking.

Can I use existing Nextflow or Snakemake pipelines?

Yes, LatchBio Integration supports the containerization and deployment of native Nextflow and Snakemake pipelines to their serverless infrastructure.

Do I need a Latch account to use this skill?

Yes, you need an active Latch account and credentials to register and execute workflows on the Latch platform.

LatchBio Integration

Name: LatchBio Integration
Author: lifangda

bylifangda

•

Ciencia de Datos y ML

Builds and deploys serverless bioinformatics workflows using the Latch Python SDK and cloud infrastructure.

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LatchBio Integration provides a comprehensive toolkit for bioinformaticians to develop, deploy, and manage scientific workflows directly through Claude Code. It simplifies the creation of serverless pipelines with Python decorators, automates cloud data management via LatchFile and LatchDir abstractions, and enables seamless integration with existing Nextflow or Snakemake pipelines. Whether you are running AlphaFold for protein structure prediction or managing large-scale RNA-seq data in the Latch Registry, this skill streamlines resource configuration—including specialized GPU allocation—and provides access to a library of production-ready verified pipelines.

Características Principales

Serverless workflow deployment with @workflow and @task decorators
16 GitHub stars
Structured data organization through the Latch Registry system
Native integration for Nextflow and Snakemake pipelines
Seamless cloud data management using LatchFile and LatchDir
Pre-configured GPU support for tasks like AlphaFold and ColabFold

Casos de Uso

Managing and tracking large biological datasets within the Latch Registry
Configuring GPU-intensive scientific tasks for protein structure prediction
Developing and registering custom RNA-seq analysis pipelines to the cloud

Acerca de

Características Principales

Serverless workflow deployment with @workflow and @task decorators
16 GitHub stars
Structured data organization through the Latch Registry system
Native integration for Nextflow and Snakemake pipelines
Seamless cloud data management using LatchFile and LatchDir
Pre-configured GPU support for tasks like AlphaFold and ColabFold

Casos de Uso

Managing and tracking large biological datasets within the Latch Registry
Configuring GPU-intensive scientific tasks for protein structure prediction
Developing and registering custom RNA-seq analysis pipelines to the cloud