latchbio-integration

Build and deploy Latch serverless bioinformatics workflows with Python @workflow and @task pipelines.

21|2|Updated Dec 8, 2025

Search Tags:#serverless #latch #workflow deployment #latchfile #gpu resource configuration #bioinformatics pipeline

Ready to run

npx skills add https://github.com/silverstein/claude-scientific-skills-desktop --skill latchbio-integration-silverstein

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: latchbio-integration
Source: https://github.com/silverstein/claude-scientific-skills-desktop/tree/main/corpus/latchbio-integration
Command: npx skills add https://github.com/silverstein/claude-scientific-skills-desktop --skill latchbio-integration-silverstein

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you move bioinformatics pipeline development from local scripts to deployed, serverless workflows with consistent inputs/outputs and cloud-managed files.

Core Features & Use Cases

Workflow creation & deployment: Build Flyte-backed pipelines using @workflow/@task decorators, deploy as serverless workflows, and integrate containerization for reproducibility.
Cloud data management: Use LatchFile and LatchDir for latch:/// paths, automatic file transfer, and glob-based file selection.
Resource configuration & verified pipelines: Select CPU/GPU resources with task decorators, then leverage production-ready verified workflows for common analyses like RNA-seq, AlphaFold, and single-cell tools.

Quick Start

Use the latchbio-integration skill when you want to create a Latch serverless workflow that processes latch:/// input files using typed @workflow/@task components and chooses the right CPU/GPU resources.

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 serverless bioinformatics pipeline on Latch?▼

Deploy serverless bioinformatics pipelines on Latch by implementing Python @workflow and @task decorators. This method integrates containerization for reproducibility and deploys Flyte-backed workflows to the cloud.

How do I manage cloud data inputs using LatchFile and LatchDir?▼

Manage cloud data inputs using LatchFile and LatchDir by referencing latch:/// paths. This approach handles automatic file transfer and supports glob-based file selection to organize and retrieve data within your workflow.

Can I configure CPU and GPU resources for individual tasks in a Latch workflow?▼

Yes, you can configure CPU and GPU resources for individual tasks in a Latch workflow. Apply resource sizing directly within the task decorators to match the compute requirements of specific pipeline components.

What is the best way to run standard analyses like RNA-seq or AlphaFold on Latch?▼

The best way to run standard analyses like RNA-seq, AlphaFold, or single-cell tools on Latch is by leveraging production-ready verified workflows. These pre-existing pipelines ensure consistent inputs and outputs for common bioinformatics tasks.

Does Latch support typed file abstractions for bioinformatics pipeline development?▼

Yes, Latch supports typed file abstractions for bioinformatics pipeline development. The platform uses LatchFile and LatchDir objects to ensure consistent cloud data management and automatic file transfer for your workflows.

Why move bioinformatics pipeline development from local scripts to serverless workflows?▼

Move bioinformatics pipeline development to serverless workflows to achieve consistent inputs and outputs alongside cloud-managed files. This transition eliminates local compute limitations and standardizes data processing through registry-driven organization.