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LeonChaoX
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latchbio-integration

Deploy Python bioinformatics workflows as containerized serverless executions on Latch.

783|65|Updated Feb 27, 2026
Search Tags:#bioinformatics#registry#workflow deployment#latchfile#gpu resource configuration#serverless pipelines
One-click install
npx skills add https://github.com/LeonChaoX/qinyan-academic-skills --skill latchbio-integration-leonchaox
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: latchbio-integration
Source: https://github.com/LeonChaoX/qinyan-academic-skills/tree/main/skills/13-%E5%AE%9E%E9%AA%8C%E5%AE%A4%E8%87%AA%E5%8A%A8%E5%8C%96%E4%B8%8E%E9%9B%86%E6%88%90/latchbio-integration
Command: npx skills add https://github.com/LeonChaoX/qinyan-academic-skills --skill latchbio-integration-leonchaox

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Latch makes it hard to turn a bioinformatics script into a reproducible, cloud-deployed workflow with managed inputs/outputs and a clear execution UI.

Core Features & Use Cases

  • Build and deploy serverless workflows: Use the Latch SDK with @workflow/@task decorators, containerize with Docker, and run Python workflows or import Nextflow/Snakemake pipelines.
  • Manage data reliably: Represent inputs/outputs with LatchFile and LatchDir, organize data through Registry (Projects → Tables → Records), and use latch:/// paths for consistent storage references.
  • Optimize compute and run production pipelines: Apply resource decorators (including GPU options), integrate verified pipelines (e.g., bulk RNA-seq, DESeq2, AlphaFold/ColabFold, scVelo), and standardize execution and reproducibility.

Quick Start

Ask your AI agent to create a Latch workflow that wraps your RNA-seq step, uses LatchFile for input fastqs, LatchDir for outputs, configures appropriate CPU/memory (and GPU if needed), and registers the workflow for execution on Latch.

Frequently Asked Questions about latchbio-integration

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

FAQPage Schema
How do I deploy bioinformatics pipelines to Latch using Python?▼

To deploy bioinformatics pipelines to Latch, use the Latch SDK with @workflow and @task decorators to convert Python scripts into containerized, serverless executions with managed inputs and outputs.

How does Latch handle data management for reproducible workflows?▼

Latch manages data through a Registry system organizing data into Projects, Tables, and Records, using LatchFile and LatchDir types with latch:/// paths for consistent and reliable storage references.

Can I configure GPU resources for serverless pipeline execution on Latch?▼

Yes, you can optimize compute and run production pipelines by applying resource decorators to configure CPU, memory, and optional GPU settings for serverless execution on Latch.

Does Latch support Nextflow or Snakemake integration?▼

Yes, Latch supports importing existing Nextflow and Snakemake pipelines, allowing you to containerize and run them as serverless workflows alongside standard Python bioinformatics scripts.

What is the best way to execute verified RNA-seq or protein structure prediction workflows?▼

The best way is to integrate verified pipelines like bulk RNA-seq, DESeq2, AlphaFold, or scVelo via Latch to standardize execution, ensure reproducibility, and manage resources automatically.

Why should I use LatchFile and LatchDir instead of standard file paths?▼

You should use LatchFile and LatchDir with latch:/// paths to ensure consistent storage references and reliable data management, preventing path resolution issues in cloud-based serverless environments.

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