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alterlab-latchbio

Build and deploy bioinformatics workflows using the Latch SDK decorators.

58|9|Updated Mar 16, 2026
Search Tags:#workflow#serverless#bioinformatics#decorators#latch#nextflow#snakemake
One-click install
npx skills add https://github.com/AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-latchbio
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: alterlab-latchbio
Source: https://github.com/AlterLab-IEU/AlterLab-Academic-Skills/tree/main/skills/lab-integrations/alterlab-latchbio
Command: npx skills add https://github.com/AlterLab-IEU/AlterLab-Academic-Skills --skill alterlab-latchbio

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

LatchBio Integration abstracts the complexity of building, deploying, and managing bioinformatics workflows by providing a decorator-based Python API, cloud data primitives, and a path to Nextflow/Snakemake compatibility.

Core Features & Use Cases

  • Workflow Creation and Deployment: define modular steps with @workflow and @task decorators and automatically containerize for serverless execution.
  • Data Management: leverage LatchFile and LatchDir for cloud data handling and registry-backed data tracking.
  • Resource Configuration: specify CPU, memory, and GPU resources for tasks, with support for custom configurations and launch plans.
  • Use Case: rapidly prototype a small RNA-seq pipeline, then scale to production-ready workloads with verified workflows.

Quick Start

Install the Latch SDK and initialize and register a new workflow with the platform.

Frequently Asked Questions about alterlab-latchbio

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

FAQPage Schema
How do I build serverless bioinformatics workflows using Python decorators?▼

Serverless bioinformatics workflows are built by defining modular steps with @workflow and @task decorators in Python, which the Latch SDK automatically containerizes for cloud execution without server management.

Can I integrate Nextflow or Snakemake pipelines into a serverless workflow platform?▼

Nextflow and Snakemake pipelines can be integrated into the serverless platform using the Latch SDK, which provides a path for compatibility alongside decorator-based Python definitions for workflow creation and deployment.

How do I handle cloud data management for RNA-seq pipeline workflows?▼

RNA-seq pipeline data is managed using LatchFile and LatchDir cloud primitives, which provide cloud data handling and registry-backed tracking for bioinformatics workflows without manual storage configuration.

Do I need Python knowledge to deploy bioinformatics workflows on LatchBio?▼

Python knowledge is required to use the Latch SDK, as workflows are defined through decorator-based Python APIs and rely on understanding LatchFile and LatchDir abstractions alongside platform concepts like launches and versioning.

How do I configure CPU, memory, and GPU resources for serverless workflow tasks?▼

CPU, memory, and GPU resources for serverless workflow tasks are configured within the decorator-based definitions, allowing custom specifications and launch plans to scale from lab prototypes to production workloads.

What is the best way to scale a prototype RNA-seq pipeline to production workloads?▼

Scaling a prototype RNA-seq pipeline to production is achieved by leveraging the Latch SDK to define verified workflows with configured resources, moving from rapid prototyping to production-ready serverless execution.

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