latchbio-integration

Build Latch bioinformatics workflows with Python, Nextflow, and Snakemake.

Updated Jul 1, 2026
One-click install
npx skills add https://github.com/jasrajtulsi/GRAD-SCOPE --skill latchbio-integration-jasrajtulsi
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: latchbio-integration
Source: https://github.com/jasrajtulsi/GRAD-SCOPE/tree/main/.claude/skills/latchbio-integration
Command: npx skills add https://github.com/jasrajtulsi/GRAD-SCOPE --skill latchbio-integration-jasrajtulsi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill removes the friction of building and deploying bioinformatics workflows on Latch, helping you turn analysis ideas into reproducible, serverless pipelines with the right data objects, resources, and execution flow.

Core Features & Use Cases

  • Workflow creation and deployment: Define Python workflows with task decorators, register them to Latch, and package them for repeatable execution.
  • Cloud data handling: Work with LatchFile and LatchDir for file and directory inputs, outputs, and cloud-backed storage paths.
  • Resource configuration: Choose appropriate CPU, memory, storage, timeout, and GPU settings for lightweight or compute-heavy tasks.
  • Verified bioinformatics pipelines: Extend or reuse supported workflows for RNA-seq, differential expression, AlphaFold, sequence alignment, single-cell analysis, and CRISPR analysis.
  • Use case: A research team can map an RNA-seq pipeline from raw reads to results, tune resources for each stage, and deploy it as a reusable Latch workflow.

Quick Start

Ask for help designing, registering, or debugging a Latch bioinformatics workflow for your specific analysis, and include the input types, task steps, resource needs, and deployment goal.

Frequently Asked Questions about latchbio-integration

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

FAQPage Schema
How do I deploy a bioinformatics pipeline on Latch?

To deploy a bioinformatics pipeline on Latch, define your Python workflow using task decorators, configure cloud resources, and register the workflow to the Latch platform for serverless execution. This process packages your analysis into a repeatable pipeline.

Can I use Nextflow and Snakemake workflows with Latch?

Yes, Latch supports deploying workflows built with Python, Nextflow, and Snakemake. The Skill provides guidance on recognizing workflow structure, configuring resources, and registering these pipelines for serverless analysis execution.

How do I handle cloud files when building a Latch workflow?

Handle cloud files in Latch workflows by using LatchFile for file inputs and outputs, and LatchDir for directory structures. These abstractions manage cloud-backed storage paths for reproducible execution.

What resources should I configure for compute-heavy tasks like AlphaFold?

For compute-heavy tasks like AlphaFold, configure appropriate CPU, memory, storage, timeout, and GPU settings within your task decorators. This ensures lightweight and compute-intensive analyses have the necessary resources.

Are there verified bioinformatics workflows I can reuse on Latch?

Yes, you can extend or reuse verified bioinformatics workflows on Latch for RNA-seq, differential expression, AlphaFold, sequence alignment, single-cell analysis, and CRISPR analysis. These pipelines provide reproducible execution templates.