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latchbio-integration

Develop and deploy serverless bioinformatics workflows using the Latch SDK.

1|Updated Jan 14, 2026
Search Tags:#workflow#serverless#data management#bioinformatics#pipeline#latch sdk#resource configuration
One-click install
npx skills add https://github.com/Sologa/codex-pipeline --skill latchbio-integration-sologa
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: latchbio-integration
Source: https://github.com/Sologa/codex-pipeline/tree/main/.codex/skills/latchbio-integration
Command: npx skills add https://github.com/Sologa/codex-pipeline --skill latchbio-integration-sologa

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the creation, deployment, and management of complex bioinformatics workflows, making advanced computational biology accessible.

Core Features & Use Cases

  • Workflow Development: Build serverless pipelines using Python decorators (@workflow, @task).
  • Data Management: Seamlessly handle cloud data with LatchFile and LatchDir, and organize experiments with the Latch Registry.
  • Resource Configuration: Easily specify compute resources (CPU, GPU, memory) for tasks.
  • Verified Workflows: Leverage pre-built, production-ready pipelines for common analyses like RNA-seq and protein structure prediction.
  • Use Case: A researcher needs to run AlphaFold on multiple protein sequences. They can use this Skill to define a workflow that takes sequences as input, runs AlphaFold using appropriate GPU resources, and stores the results in the Latch Registry.

Quick Start

Use the latchbio-integration skill to create a new Latch workflow named 'my-rnaseq-pipeline'.

Frequently Asked Questions about latchbio-integration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a serverless bioinformatics workflow in Python?▼

Yes, you can integrate existing Nextflow and Snakemake pipelines with the Latch SDK to deploy them as serverless workflows, enabling cloud data management and resource configuration through Python decorators.

How do I configure CPU, GPU, and memory for bioinformatics pipeline tasks?▼

Manage cloud data in bioinformatics workflows using LatchFile for individual files and LatchDir for directories, while organizing and tracking experiments collectively through the Latch Registry system.

Are there pre-built workflows for RNA-seq and single-cell analysis?▼

Yes, verified pre-built workflows for common biological analyses like RNA-seq, protein structure prediction, and single-cell analysis are available to leverage directly within the Latch SDK for production-ready pipelines.

What is the best way to run AlphaFold on multiple protein sequences in the cloud?▼

Run AlphaFold on multiple sequences by defining a Latch SDK workflow that takes sequences as input, allocates appropriate GPU resources, executes the analysis, and stores the results in the Latch Registry.

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