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dnanexus-integration

Build and manage DNAnexus genomics apps, applets, and workflows.

Updated Jul 1, 2026
Search Tags:#workflow#app development#bioinformatics#genomics#dxpy#dnanexus
One-click install
npx skills add https://github.com/jasrajtulsi/GRAD-SCOPE --skill dnanexus-integration-jasrajtulsi
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dnanexus-integration
Source: https://github.com/jasrajtulsi/GRAD-SCOPE/tree/main/.claude/skills/dnanexus-integration
Command: npx skills add https://github.com/jasrajtulsi/GRAD-SCOPE --skill dnanexus-integration-jasrajtulsi

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It removes the friction of building, running, and debugging DNAnexus genomics workflows by centralizing app development, data handling, and job execution guidance in one place.

Core Features & Use Cases

  • App and applet development: Create DNAnexus executables with the right entry points, inputs, outputs, and deployment structure.
  • Data operations: Upload, download, search, clone, and organize files and records for genomics analysis.
  • Workflow execution and orchestration: Launch jobs, monitor status, chain outputs between steps, and troubleshoot failures.
  • Configuration and dependencies: Define dxapp.json metadata, instance sizing, execDepends, assets, and Docker-based setups for reproducible runs.
  • Use case: A bioinformatics engineer can use this skill to package a read-mapping pipeline, run it on the platform, and manage FASTQ, BAM, and VCF artifacts end to end.

Quick Start

Ask for a DNAnexus app or workflow plan for your genomics task, and specify the inputs, outputs, and execution constraints you want it to use.

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 the DNAnexus platform?▼

Yes, you can orchestrate multi-step genomics workflows by chaining outputs between steps, launching jobs, and monitoring execution status to process FASTQ, BAM, and VCF files across the pipeline.

How do I manage FASTQ, BAM, and VCF data operations in DNAnexus?▼

Manage genomics data operations in DNAnexus by using supported tools to upload, download, search, clone, and organize FASTQ, BAM, and VCF file records for your bioinformatics analysis workflows.

What is the best way to configure dependencies and resources for a DNAnexus applet?▼

The best way to configure DNAnexus applet dependencies and resources is by defining dxapp.json metadata, specifying instance sizing, execDepends, assets, and Docker-based setups to ensure reproducible runs.

Does the DNAnexus Python SDK support job monitoring and troubleshooting for bioinformatics pipelines?▼

Yes, the DNAnexus Python SDK supports job monitoring and troubleshooting by allowing you to launch jobs, track execution status, and troubleshoot failures during bioinformatics pipeline orchestration.

Why might a DNAnexus workflow job fail during genomics data processing?▼

A DNAnexus workflow job might fail due to incorrect dxapp.json configuration, insufficient instance sizing, missing execDepends, or improper handling of FASTQ, BAM, and VCF inputs across the pipeline steps.

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