How does this skill handle cloud data storage?

It uses LatchFile and LatchDir abstractions to manage automatic file transfers and pathing between your local environment and Latch's cloud storage system.

Can I run GPU-intensive tasks with this skill?

Absolutely. The skill provides guidance on using specialized task decorators to provision specific resources, including V100 and A100 GPUs for tasks like protein folding or deep learning.

Do I need a Latch account to use this skill?

Yes, you must have a Latch account and have the Latch CLI authenticated on your machine to register and execute workflows on their platform infrastructure.

What is the Latch SDK?

The Latch SDK is a Python framework used to build and deploy bioinformatics workflows as serverless pipelines on the Latch platform, utilizing Flyte under the hood.

Can I use existing Nextflow or Snakemake pipelines?

Yes, LatchBio supports native integration for both Nextflow and Snakemake, allowing you to containerize, register, and deploy them to the cloud easily.

LatchBio Bioinformatics Integration

Name: LatchBio Bioinformatics Integration
Author: jimmc414

byjimmc414

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324

Ciencia de Datos y ML

Builds and deploys production-grade bioinformatics pipelines as serverless workflows on the Latch platform.

Acerca de

This skill integrates the Latch SDK into Claude Code, allowing researchers and developers to architect, register, and manage complex biological data workflows. It streamlines the creation of serverless bioinformatics pipelines using Python decorators, handles cloud-based data abstractions like LatchFile and LatchDir, and facilitates the deployment of resource-intensive tasks including GPU-accelerated analysis like AlphaFold. Whether migrating existing Nextflow/Snakemake pipelines or building new automated discovery tools, this skill provides the domain-specific guidance needed for scalable scientific computing and structured genomic data management.

Características Principales

Resource optimization for CPU, memory, and GPU (K80, V100, A100) tasks
Serverless workflow creation with @workflow and @task decorators
Access to production-ready verified workflows like AlphaFold and RNA-seq
324 GitHub stars
Cloud data management using LatchFile, LatchDir, and Registry tables
Seamless integration for Nextflow and Snakemake pipelines

Casos de Uso

Organizing large-scale sequencing datasets within the Latch Registry for metadata tracking
Configuring GPU-accelerated protein structure prediction using AlphaFold on the cloud
Automating bulk RNA-seq analysis pipelines from raw data to differential expression

Acerca de

Características Principales

Resource optimization for CPU, memory, and GPU (K80, V100, A100) tasks
Serverless workflow creation with @workflow and @task decorators
Access to production-ready verified workflows like AlphaFold and RNA-seq
324 GitHub stars
Cloud data management using LatchFile, LatchDir, and Registry tables
Seamless integration for Nextflow and Snakemake pipelines

Casos de Uso

Organizing large-scale sequencing datasets within the Latch Registry for metadata tracking
Configuring GPU-accelerated protein structure prediction using AlphaFold on the cloud
Automating bulk RNA-seq analysis pipelines from raw data to differential expression