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dnanexus-integration

Integrate DNAnexus app development, data management, and job execution via dxpy.

33.0k|3.2k|Updated Oct 19, 2025
Search Tags:#genomics#workflows#data-management#dxpy#dnanexus#cloud-computing
One-click install
npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill dnanexus-integration-k-dense-ai
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dnanexus-integration
Source: https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/scientific-skills/dnanexus-integration
Command: npx skills add https://github.com/K-Dense-AI/scientific-agent-skills --skill dnanexus-integration-k-dense-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill bridges the DNAnexus cloud platform with AI-driven workflows, enabling streamlined app/applets development, data management, and scalable job execution via the dxpy SDK.

Core Features & Use Cases

  • App Development: scaffold, build, and deploy DNAnexus apps/applets using dxapp.json and Python/Bash entry points.
  • Data Operations & Workflows: manage files, records, and multi-step analyses with dxpy APIs and shared workflows.
  • End-to-end Genomics Pipelines: compose complex genomics pipelines across DNAnexus, leveraging assets, dependencies, and containerized tools.

Quick Start

Install dxpy, authenticate to your DNAnexus account, and run a quick script to list files in a project.

Frequently Asked Questions about dnanexus-integration

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

FAQPage Schema
How do I manage genomics data and build workflows on DNAnexus?▼

You can manage genomics data and build workflows on DNAnexus by using the dxpy SDK to handle files, records, and multi-step analyses. This enables scalable app deployment, data handling, and job orchestration across sequencing pipelines.

How do I scaffold and deploy DNAnexus apps using Python?▼

You scaffold and deploy DNAnexus apps by configuring dxapp.json and defining Python or Bash entry points. This process leverages the dxpy SDK to build and execute applets within the cloud genomics platform.

Can I execute scalable genomics pipelines across DNAnexus cloud projects?▼

Yes, you can execute scalable genomics pipelines across DNAnexus by composing multi-step analyses. The platform supports job orchestration, utilizing assets, dependencies, and containerized tools for end-to-end sequencing analyses.

Do I need the dxpy SDK to automate data operations in cloud genomics workflows?▼

Yes, the dxpy SDK is required to automate data operations and access the platform's Python capabilities. It provides the necessary APIs for file management, job execution, and configuration within DNAnexus projects.

What is the best way to orchestrate multi-step sequencing analyses in cloud computing?▼

The best way to orchestrate multi-step sequencing analyses is by using a platform like DNAnexus with the dxpy SDK. This approach allows you to compose complex genomics pipelines, manage shared workflows, and deploy scalable jobs across cloud infrastructure.

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