dnanexus-integration

Build DNAnexus apps and manage genomics data workflows with dxpy.

18|1|Updated Dec 27, 2025
One-click install
npx skills add https://github.com/LogauaEngstrom/claude-scientific-skills --skill dnanexus-integration-logauaengstrom
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dnanexus-integration
Source: https://github.com/LogauaEngstrom/claude-scientific-skills/tree/main/scientific-skills/dnanexus-integration
Command: npx skills add https://github.com/LogauaEngstrom/claude-scientific-skills --skill dnanexus-integration-logauaengstrom

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Streamlines building DNAnexus apps/applets and managing genomics data workflows on the cloud.

Core Features & Use Cases

  • App development on the DNAnexus platform using dxpy to build, test, and deploy apps/applets.
  • Data operations including uploading, downloading, organizing, and querying files and records via dxpy.
  • Job execution and workflow orchestration to run multi-step analyses across sequencing data (FASTQ, BAM, VCF).
  • Python SDK usage and configuration/dependency management to streamline automation and reproducibility.

Quick Start

Run a basic DNAnexus integration by loading this skill and executing a simple applet workflow.

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 DNAnexus applets using dxpy?

Build and deploy DNAnexus applets by using the dxpy Python SDK to compile source code, define inputs and outputs, and push the executable to the cloud platform for genomics data processing.

What is the best way to manage FASTQ and BAM files in DNAnexus cloud workflows?

Manage FASTQ and BAM sequencing files in DNAnexus by using dxpy to upload, download, organize, and query data records within orchestrated, multi-step genomics workflows.

Can I automate multi-step genomics workflow execution on the DNAnexus platform?

Automate multi-step genomics workflow execution on DNAnexus by orchestrating job execution through dxpy, allowing sequential analysis of sequencing data across cloud-based pipelines.

Does dxpy support Python SDK configuration for cloud-based bioinformatics pipelines?

Dxpy supports Python SDK configuration and dependency management to streamline automation, ensuring reproducibility when building and running cloud-based bioinformatics pipelines.

What are the limitations of using dxpy for cloud genomics data operations?

Dxpy limits operations to the DNAnexus cloud environment, requiring proper configuration and dependency management to prevent execution errors when handling large sequencing datasets.