How does it handle data management?

The skill helps you implement LatchFile and LatchDir for cloud storage abstractions and use the Latch Registry for structured data organization and sample tracking.

Does it support GPU-intensive biological computations?

Absolutely. It provides configurations for GPU tasks including support for A100, V100, and K80 GPUs, which are essential for tools like AlphaFold.

What is the LatchBio Integration skill for Claude?

It is a specialized capability that provides Claude with the domain-specific knowledge to help you build, deploy, and manage bioinformatics workflows on the Latch platform using the Latch SDK.

Can I use this skill to migrate Nextflow or Snakemake pipelines?

Yes, the skill includes specific implementation patterns and guidance for integrating and deploying both Snakemake and Nextflow pipelines within the Latch ecosystem.

LatchBio Integration

Name: LatchBio Integration
Author: Activer007

byActiver007

Ciencia de Datos y ML

Builds and deploys serverless bioinformatics workflows on the Latch platform using Python-native SDKs.

Acerca de

This skill provides comprehensive support for the Latch platform, a Python-native framework designed for developing and scaling complex bioinformatics pipelines. It enables developers to create serverless workflows using @workflow and @task decorators, manage cloud-based biological data through LatchFile and LatchDir abstractions, and organize structured metadata within the Latch Registry. Whether you are migrating legacy Nextflow or Snakemake pipelines, optimizing GPU-intensive tasks like AlphaFold, or executing production-grade verified workflows for RNA-seq, this skill offers the patterns and best practices required for efficient, reproducible cloud-scale biotechnology development.

Características Principales

Python-native bioinformatics workflow creation with Flyte-based decorators
Serverless deployment with automatic Docker containerization and no-code UI generation
Advanced resource configuration for CPU, memory, and specialized GPU tasks (A100/V100)
0 GitHub stars
Cloud data management using LatchFile, LatchDir, and Registry table systems
Seamless integration with Nextflow, Snakemake, and pre-built verified pipelines

Casos de Uso

Managing large-scale biological datasets and metadata tracking within the Latch Registry
Scaling RNA-seq or single-cell analysis pipelines to cloud-native serverless environments
Running protein structure predictions using GPU-accelerated tasks like AlphaFold and ColabFold

Acerca de

Características Principales

Python-native bioinformatics workflow creation with Flyte-based decorators
Serverless deployment with automatic Docker containerization and no-code UI generation
Advanced resource configuration for CPU, memory, and specialized GPU tasks (A100/V100)
0 GitHub stars
Cloud data management using LatchFile, LatchDir, and Registry table systems
Seamless integration with Nextflow, Snakemake, and pre-built verified pipelines

Casos de Uso

Managing large-scale biological datasets and metadata tracking within the Latch Registry
Scaling RNA-seq or single-cell analysis pipelines to cloud-native serverless environments
Running protein structure predictions using GPU-accelerated tasks like AlphaFold and ColabFold