Does it support GPU-intensive tasks?

Absolutely; the skill includes resource configuration patterns for V100 and A100 GPUs, specifically for tasks like protein structure prediction with AlphaFold.

What are verified workflows?

Verified workflows are production-ready, pre-built pipelines (like DESeq2 or scVelo) that this skill can help you import, configure, and customize for your research.

Can I use this skill to migrate existing pipelines?

Yes, this skill provides guidance on integrating and containerizing Nextflow and Snakemake pipelines into the Latch platform using the SDK.

How does it handle biological data?

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

What is LatchBio Integration for Claude?

It is a specialized skill that allows Claude to help you write, debug, and deploy bioinformatics workflows using the Latch Python SDK and serverless infrastructure.

LatchBio Bioinformatics Workflows

Name: LatchBio Bioinformatics Workflows
Author: K-Dense-AI

byK-Dense-AI

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2,188

Data Science & ML

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

About

This skill empowers Claude to assist in creating, deploying, and managing complex bioinformatics workflows on the Latch platform. It provides specialized knowledge for using the Latch SDK, including @workflow and @task decorators, managing cloud data via LatchFile and LatchDir, and configuring specialized hardware resources like GPUs for tasks like AlphaFold. Whether you are migrating Nextflow/Snakemake pipelines or building native Python workflows with integrated sample tracking in the Latch Registry, this skill ensures best practices for reproducibility and cost-efficient cloud execution.

Key Features

2,188 GitHub stars
Access to production-ready verified workflows like AlphaFold and RNA-seq
Cloud data management using LatchFile, LatchDir, and Latch Registry
Automatic resource configuration for CPU, memory, and high-performance GPUs
Serverless workflow creation with @workflow and @task decorators
Support for Nextflow and Snakemake pipeline integration

Use Cases

Migrating existing Nextflow or Snakemake workflows to a managed cloud environment
Organizing large-scale biological datasets with the Latch Registry and linked records
Developing and deploying serverless RNA-seq or CRISPR analysis pipelines

About

Key Features

2,188 GitHub stars
Access to production-ready verified workflows like AlphaFold and RNA-seq
Cloud data management using LatchFile, LatchDir, and Latch Registry
Automatic resource configuration for CPU, memory, and high-performance GPUs
Serverless workflow creation with @workflow and @task decorators
Support for Nextflow and Snakemake pipeline integration

Use Cases

Migrating existing Nextflow or Snakemake workflows to a managed cloud environment
Organizing large-scale biological datasets with the Latch Registry and linked records
Developing and deploying serverless RNA-seq or CRISPR analysis pipelines