dnanexus-integration

Create, execute, and manage genomics workflows on DNAnexus using the dxpy Python SDK.

13|3|Updated Jun 10, 2026
One-click install
npx skills add https://github.com/tassiovale/claude-code-kit --skill dnanexus-integration-tassiovale
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dnanexus-integration
Source: https://github.com/tassiovale/claude-code-kit/tree/main/skills/dnanexus-integration
Command: npx skills add https://github.com/tassiovale/claude-code-kit --skill dnanexus-integration-tassiovale

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires dxpy, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines genomics workflow development and execution on the DNAnexus platform, simplifying applet building, data management, and job orchestration.

Core Features & Use Cases

  • App Development: Build and deploy DNAnexus apps/applets for data analysis and workflow execution.
  • Data Operations: Efficiently manage data files and records on the platform, including upload/download, organization, and cloning.
  • Job Execution: Orchestrate complex analyses and workflows, with job monitoring and parallel processing capabilities.
  • Python SDK: Leverage dxpy to interact programmatically with the DNAnexus platform.
  • Use Case: Imagine you need to run a set of analyses on sequencing data stored on DNAnexus. This Skill allows you to automate the process, from data extraction to result analysis, without manual intervention.

Quick Start

Use the dnanexus-integration skill to run an analysis job using the provided applet 'applet-xxxx'.

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 Python?

Automating genomics workflows on DNAnexus involves using the dxpy Python SDK to programmatically build applets, manage data objects, and orchestrate job execution. This streamlines the entire process from data extraction to result analysis without manual intervention.

What is DNAnexus applet development for sequencing data analysis?

DNAnexus applet development is the process of building and deploying executable components on the DNAnexus platform to run specific data analysis tasks. This Skill facilitates creating these applets to automate custom genomics workflows and process sequencing data efficiently.

Do I need a DNAnexus account and dxpy to manage data objects programmatically?

Yes, managing data objects programmatically requires a DNAnexus account with appropriate project permissions and the dxpy Python SDK installed. These prerequisites ensure secure API-based interaction for uploading, downloading, and organizing genomic data.

Can I schedule and monitor parallel processing jobs on DNAnexus with Python?

Scheduling and monitoring parallel processing jobs on DNAnexus is supported through the dxpy Python SDK. This Skill enables you to orchestrate complex analyses, configure parallel execution, and track job status during genomics workflow automation.

What are the limitations of using dxpy for genomics workflow automation?

The primary limitation of using dxpy for genomics workflow automation is the strict dependency on the DNAnexus platform environment. Users must maintain valid account credentials and appropriate project access permissions to execute any data manipulation or job scheduling tasks.