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dnanexus-integration

Develop and run genomics pipelines on DNAnexus using the dxpy Python SDK.

8|Updated Nov 19, 2025
Search Tags:#data pipeline#bioinformatics#genomics#cloud computing#dxpy#dnanexus
One-click install
npx skills add https://github.com/sanand0/scientific-research --skill dnanexus-integration-sanand0
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dnanexus-integration
Source: https://github.com/sanand0/scientific-research/tree/main/.claude/skills/dnanexus-integration
Command: npx skills add https://github.com/sanand0/scientific-research --skill dnanexus-integration-sanand0

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill streamlines complex genomics data management and analysis on the DNAnexus platform, reducing the time and effort required for bioinformatics pipeline development and execution.

Core Features & Use Cases

  • App Development: Build and deploy custom bioinformatics apps and applets.
  • Data Management: Upload, download, search, and organize large genomics datasets (FASTQ, BAM, VCF).
  • Workflow Execution: Run complex analysis pipelines and monitor job progress.
  • Use Case: A researcher needs to process raw sequencing data through a multi-step alignment and variant calling pipeline. This Skill can be used to develop the necessary applets, upload the FASTQ files, configure and run the pipeline, and download the final VCF results.

Quick Start

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

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 bioinformatics pipelines on the DNAnexus cloud platform?▼

You can build and deploy bioinformatics pipelines on the DNAnexus cloud platform by creating custom apps and applets, managing data objects, and orchestrating job execution programmatically via the dxpy Python SDK.

What is the best way to manage large genomics datasets like FASTQ, BAM, and VCF files in a scalable cloud environment?▼

Managing large genomics datasets like FASTQ, BAM, and VCF files in a scalable cloud environment requires platform-level data object management to upload, download, search, and organize sequencing data for pipeline processing.

Can I use the dxpy Python SDK to automate job execution and workflow orchestration for sequencing data?▼

Yes, you can use the dxpy Python SDK to automate programmatic interaction for job execution and workflow orchestration, enabling you to run complex analysis pipelines and monitor job progress on the cloud platform.

How do I run a multi-step alignment and variant calling pipeline from raw FASTQ files to final VCF results?▼

To run a multi-step alignment and variant calling pipeline, you upload raw FASTQ files, develop and configure the necessary applets, execute the workflow, and download the final VCF results from the cloud platform.

Does DNAnexus integration support custom applet development for processing specific bioinformatics file formats?▼

Yes, DNAnexus integration supports custom app and applet development specifically designed to process bioinformatics file formats like FASTQ, BAM, and VCF within a scalable cloud computing environment.

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