Can I use this skill for GPU-accelerated tasks?

Yes, the skill provides guidance on using GPU decorators to configure resources like NVIDIA V100 and A100 GPUs for computationally intensive tasks like AlphaFold.

Is local testing supported before cloud registration?

Yes, the skill follows best practices for using the Latch CLI to test workflows locally with Docker before registering them to the platform.

How does the Latch Registry integrate with workflows?

The Latch Registry provides structured data organization (Projects, Tables, Records). This skill helps you write tasks that programmatically query or update these records during execution.

What is LatchBio and how does this skill help?

LatchBio is a Python framework and cloud platform for bioinformatics. This skill helps Claude assist you in writing, debugging, and deploying those workflows to the Latch platform.

Does it support existing Nextflow or Snakemake scripts?

Yes, the LatchBio integration supports wrapping and deploying existing Nextflow and Snakemake pipelines as serverless Latch workflows.

LatchBio Bioinformatics Integration

Name: LatchBio Bioinformatics Integration
Author: BbgnsurfTech

byBbgnsurfTech

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Ciencia de Datos y ML

Develops, deploys, and manages serverless bioinformatics pipelines using the Latch SDK and cloud infrastructure.

Acerca de

The LatchBio Integration skill enables Claude to assist researchers and bioinformaticians in building production-grade scientific workflows. It streamlines the creation of serverless pipelines using Python decorators, manages cloud-native data storage via LatchFile and LatchDir, and configures complex compute resources including GPUs for tasks like protein folding or RNA-seq analysis. By integrating with the Latch SDK, this skill helps users containerize workflows with Docker, organize biological data in the Latch Registry, and leverage pre-built verified pipelines for accelerated scientific discovery.

Características Principales

Access to production-ready verified workflows like AlphaFold and RNA-seq
Automated resource scaling with pre-configured CPU and GPU task types
Seamless integration with Nextflow and Snakemake pipelines
Cloud-native data management using LatchFile, LatchDir, and Registry tables
Serverless workflow orchestration with Python @workflow and @task decorators
3 GitHub stars

Casos de Uso

Building a custom RNA-seq analysis pipeline for serverless cloud deployment
Migrating existing Nextflow or Snakemake workflows to a managed platform
Managing large-scale genomic datasets and sample tracking using the Latch Registry

Acerca de

Características Principales

Access to production-ready verified workflows like AlphaFold and RNA-seq
Automated resource scaling with pre-configured CPU and GPU task types
Seamless integration with Nextflow and Snakemake pipelines
Cloud-native data management using LatchFile, LatchDir, and Registry tables
Serverless workflow orchestration with Python @workflow and @task decorators
3 GitHub stars

Casos de Uso

Building a custom RNA-seq analysis pipeline for serverless cloud deployment
Migrating existing Nextflow or Snakemake workflows to a managed platform
Managing large-scale genomic datasets and sample tracking using the Latch Registry