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dnanexus-integration

Automate building and running genomics apps on the DNAnexus platform.

Updated Aug 23, 2026
Search Tags:#workflow#genomics#app-development#data-management#dxpy#dnanexus
One-click install
npx skills add https://github.com/Org-GAgent/result-interpreter --skill dnanexus-integration-org-gagent
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dnanexus-integration
Source: https://github.com/Org-GAgent/result-interpreter/tree/main/.skills/scientific-skills/dnanexus-integration
Command: npx skills add https://github.com/Org-GAgent/result-interpreter --skill dnanexus-integration-org-gagent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

DNAnexus integration helps teams build, deploy, and manage genomics apps and workflows on the cloud, centralizing data handling with dxpy and enabling scalable analyses.

Core Features & Use Cases

  • App/app development and deployment on the DNAnexus platform
  • Data operations: upload/download, search, organize FASTQ/BAM/VCF
  • Job execution and workflow orchestration across multi-step analyses
  • dxpy-based scripting and Python SDK usage for automation
  • DXApp/dxApplet configuration with dxapp.json, Docker, assets, and dependencies
  • Use case: run a complete genomics pipeline from data ingestion to results in a single cloud environment

Quick Start

Configure a simple dxapp.json, implement a Python entry script, and run the workflow on DNAnexus.

Frequently Asked Questions about dnanexus-integration

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

FAQPage Schema
How do I build and deploy a genomics app on DNAnexus using dxpy?▼

To build a genomics app on DNAnexus with dxpy, configure a dxapp.json file, implement a Python entry script, and use deployment tooling to push the app to the platform for scalable execution.

Can I automate multi-step workflow orchestration for FASTQ, BAM, and VCF data on DNAnexus?▼

Yes, you can automate multi-step workflow orchestration for FASTQ, BAM, and VCF data on DNAnexus by using dxpy-based scripting to handle job execution and data operations end-to-end.

What is the best way to run scalable genomics pipelines in a single cloud environment?▼

The best way to run scalable genomics pipelines in a single cloud environment is to centralize data handling and automate app deployment on DNAnexus, integrating data ingestion through to final results.

Does DNAnexus app development require configuring dxapp.json with Docker and dependencies?▼

Yes, DNAnexus app development requires configuring dxapp.json to define Docker assets and dependencies, ensuring the app meets platform standards for deployment and execution.

Why use dxpy and the Python SDK for data management on the DNAnexus platform?▼

Using dxpy and the Python SDK for data management on DNAnexus enables automated upload, download, search, and organization of genomic files, centralizing data handling for scalable cloud analyses.

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