How does this skill handle large-scale genomic data?

The skill provides guidance on using LatchFile and LatchDir for cloud storage abstractions and the Latch Registry for structured data organization.

What is the primary benefit of the LatchBio integration?

It allows you to build, test, and deploy complex bioinformatics workflows to serverless infrastructure using simple Python decorators and the Latch SDK.

Do I need a Latch account to use these features?

Yes, you will need a LatchBio account and the Latch SDK installed to register and execute the workflows generated by this skill.

Does it support GPU-intensive tasks like protein folding?

Absolutely. It includes patterns for configuring GPU resources (like A100s) specifically for workloads like AlphaFold and ColabFold.

Can I use this skill to run existing Nextflow pipelines?

Yes, LatchBio supports the integration of Nextflow and Snakemake pipelines, allowing you to wrap them in the Latch platform for better UI and data management.

LatchBio Integration

Name: LatchBio Integration
Author: pur3v4d3r

bypur3v4d3r

•

데이터 과학 및 ML

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

소개

The LatchBio Integration skill enables developers and bioinformaticians to architect production-grade scientific pipelines directly within Claude. By leveraging the Latch SDK and Flyte-based architecture, this skill provides specialized guidance for creating serverless workflows with Python decorators, managing cloud-scale data via LatchFile and LatchDir, and integrating with legacy Nextflow or Snakemake pipelines. It is particularly useful for teams needing to scale computational biology tasks, automate RNA-seq analysis, or deploy GPU-accelerated models like AlphaFold without managing underlying infrastructure.

주요 기능

Native Nextflow and Snakemake integration
1 GitHub stars
Cloud data management with Latch Registry
Production-ready verified workflow templates
Automated GPU resource configuration (K80, V100, A100)
Pythonic @workflow and @task decorators

사용 사례

Deploying scalable RNA-seq and single-cell analysis pipelines
Managing large-scale genomic data with LatchFile and Registry
Migrating local bioinformatics scripts to serverless cloud infrastructure

소개

주요 기능

Native Nextflow and Snakemake integration
1 GitHub stars
Cloud data management with Latch Registry
Production-ready verified workflow templates
Automated GPU resource configuration (K80, V100, A100)
Pythonic @workflow and @task decorators

사용 사례

Deploying scalable RNA-seq and single-cell analysis pipelines
Managing large-scale genomic data with LatchFile and Registry
Migrating local bioinformatics scripts to serverless cloud infrastructure