dnanexus-integration

Automate DNAnexus genomics workflows with dxpy for applets, data, and jobs.

15|2|Updated Dec 17, 2025
One-click install
npx skills add https://github.com/rubensliv/k-dense-ai --skill dnanexus-integration-rubensliv
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dnanexus-integration
Source: https://github.com/rubensliv/k-dense-ai/tree/main/scientific-skills/dnanexus-integration
Command: npx skills add https://github.com/rubensliv/k-dense-ai --skill dnanexus-integration-rubensliv

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Enables end-to-end automation of DNAnexus-based genomics workflows.

Core Features & Use Cases

  • App development: scaffold and deploy DNAnexus apps/applets with dxpy integration.
  • Data operations: upload/download files, search and organize datasets, manage projects and permissions.
  • Job execution: launch and monitor analyses, chain multi-step workflows, handle parallel subjobs.
  • Python SDK guidance: using dxpy for automation, data handling, and workflow orchestration.
  • Reference-guided workflows: rely on detailed docs in references to implement robust pipelines across biology, imaging, and analytics.
  • Use Case: Build a multi-step genomics pipeline that uploads sequencing reads, runs alignment, and aggregates results with metadata at each step.

Quick Start

Install dxpy, log in to DNAnexus, and run a minimal workflow that uploads a file, launches a simple applet, and retrieves the output.

Frequently Asked Questions about dnanexus-integration

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

FAQPage Schema
How do I automate genomics workflows on DNAnexus using dxpy?

Automate genomics workflows on DNAnexus by using dxpy for applet development, data management, and job execution. You can build end-to-end pipelines that upload sequencing reads, run alignments, and aggregate results with metadata.

What is the best way to scaffold and deploy DNAnexus apps with Python?

Scaffold and deploy DNAnexus apps by integrating dxpy for app configuration and dependencies. This approach provides reference-guided workflows for robust pipeline implementation across FASTQ, BAM, and VCF files.

Can I chain multi-step pipelines and handle parallel subjobs on a cloud platform?

Chain multi-step pipelines and handle parallel subjobs on the DNAnexus cloud platform. Job execution features allow you to launch, monitor, and orchestrate complex analyses with automated data operations.

How does dxpy handle data management for sequencing pipelines?

dxpy handles data management for sequencing pipelines by enabling file uploads and downloads, searching and organizing datasets, and managing project permissions across your genomics workflows.

Do I need specific dependencies to run a minimal DNAnexus workflow?

To run a minimal DNAnexus workflow, install dxpy, log in to the platform, upload a file, launch a simple applet, and retrieve the output. The Skill provides documentation references for app-development and configuration.

Why use DNAnexus integration for bioinformatics instead of other pipeline tools?

Use DNAnexus integration to achieve end-to-end automation of genomics workflows specifically designed for the cloud platform. It provides dxpy-based scripting and reference-guided workflows tailored for biology, imaging, and analytics pipelines.