Can I run AlphaFold using this skill?

Yes, this skill provides guidance on using Latch's verified workflows, including AlphaFold and ColabFold, with appropriate GPU resource configuration.

Does it support Nextflow and Snakemake?

Yes, the skill covers patterns for integrating and containerizing existing Nextflow and Snakemake pipelines for execution on the Latch platform.

How does data management work in this integration?

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

What is LatchBio and how does this skill help?

LatchBio is a cloud platform for bioinformatics. This skill helps you use the Latch SDK to write, test, and deploy serverless pipelines directly from your development environment.

LatchBio Bioinformatics Integration

Name: LatchBio Bioinformatics Integration
Author: Microck

byMicrock

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Data Science & ML

Builds and deploys serverless bioinformatics workflows on the Latch platform using Python, Nextflow, or Snakemake.

About

This skill enables developers and researchers to seamlessly build, deploy, and manage production-grade bioinformatics pipelines on the Latch platform. It provides specialized guidance on using the Latch SDK, including @workflow and @task decorators, cloud data management with LatchFile and LatchDir, and efficient resource allocation for high-performance computing. Whether you are migrating existing Nextflow scripts or building native Python pipelines, this skill assists in every step from local development to cloud-scale execution and Registry-based data organization.

Key Features

Access to production-ready verified workflows like AlphaFold and RNA-seq
81 GitHub stars
Precision resource configuration for CPU, memory, and GPU-intensive tasks
Cloud data management using LatchFile, LatchDir, and Registry tables
Native support for Nextflow and Snakemake pipeline integration
Serverless workflow deployment with @workflow and @task decorators

Use Cases

Creating and registering custom RNA-seq or CRISPR analysis pipelines
Migrating local genomic workflows to serverless cloud infrastructure
Automating large-scale data tracking and metadata management in Latch Registry

About

Key Features

Access to production-ready verified workflows like AlphaFold and RNA-seq
81 GitHub stars
Precision resource configuration for CPU, memory, and GPU-intensive tasks
Cloud data management using LatchFile, LatchDir, and Registry tables
Native support for Nextflow and Snakemake pipeline integration
Serverless workflow deployment with @workflow and @task decorators

Use Cases

Creating and registering custom RNA-seq or CRISPR analysis pipelines
Migrating local genomic workflows to serverless cloud infrastructure
Automating large-scale data tracking and metadata management in Latch Registry