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service-dnanexus-integration

Interact with the DNAnexus platform using the dxpy Python SDK.

Updated Mar 13, 2026
Search Tags:#app development#data management#bioinformatics#genomics#cloud computing#dxpy#dnanexus
One-click install
npx skills add https://github.com/biomaps-infra/blender-opencode --skill service-dnanexus-integration
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: service-dnanexus-integration
Source: https://github.com/biomaps-infra/blender-opencode/tree/main/.opencode/skills/service-dnanexus-integration
Command: npx skills add https://github.com/biomaps-infra/blender-opencode --skill service-dnanexus-integration

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a comprehensive toolkit for interacting with the DNAnexus cloud genomics platform, streamlining complex bioinformatics workflows and data management tasks.

Core Features & Use Cases

  • App Development: Build and deploy custom bioinformatics apps and applets.
  • Data Management: Upload, download, search, and organize large genomics datasets.
  • Workflow Execution: Run complex analysis pipelines and monitor job progress.
  • Use Case: A genomics researcher needs to process FASTQ files, align them to a reference genome, and call variants. This Skill can be used to develop the necessary apps, manage the input/output files, and execute the entire pipeline on DNAnexus.

Quick Start

Use the service-dnanexus-integration skill to upload the file 'sample.fastq' to your DNAnexus project.

Frequently Asked Questions about service-dnanexus-integration

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

FAQPage Schema
How do I upload and manage FASTQ files on the DNAnexus cloud platform?▼

To manage FASTQ files on the DNAnexus cloud platform, use the dxpy Python SDK to upload, search, and organize large genomics datasets within your projects. This approach streamlines complex bioinformatics data management tasks.

Can I build custom bioinformatics apps using dxpy for genomics workflows?▼

Yes, you can build custom bioinformatics apps using dxpy. The dxpy Python SDK facilitates applet creation and job execution, enabling you to develop and deploy custom pipelines for processing genomics data like BAM and VCF files.

What is the best way to execute and monitor genomics pipelines on DNAnexus?▼

The best way to execute genomics pipelines on DNAnexus is by using the dxpy SDK to run complex analysis workflows and monitor job progress. This allows you to efficiently manage data and execute pipelines from alignment to variant calling.

Does DNAnexus integration support processing VCF and BAM file formats?▼

DNAnexus integration supports processing VCF and BAM file formats. The toolkit handles these formats natively using the dxpy Python SDK, enabling seamless file manipulation during variant calling and alignment tasks.

How do I develop and deploy applets for variant calling on DNAnexus?▼

To develop applets for variant calling on DNAnexus, use the dxpy Python SDK to create applets, manage input/output files, and execute the analysis pipeline. This handles the entire workflow from FASTQ alignment to VCF generation.

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