dnanexus-integration

---
name: dnanexus-integration
description: "DNAnexus cloud genomics platform. Build apps/applets, manage data (upload/download), dxpy Python SDK, run workflows, FASTQ/BAM/VCF, for genomics pipeline development and execution."
---

# DNAnexus Integration

## Overview

DNAnexus is a cloud platform for biomedical data analysis and genomics. Build and deploy apps/applets, manage data objects, run workflows, and use the dxpy Python SDK for genomics pipeline development and execution.

## When to Use This Skill

This skill should be used when:
- Creating, building, or modifying DNAnexus apps/applets
- Uploading, downloading, searching, or organizing files and records
- Running analyses, monitoring jobs, creating workflows
- Writing scripts using dxpy to interact with the platform
- Setting up dxapp.json, managing dependencies, using Docker
- Processing FASTQ, BAM, VCF, or other bioinformatics files
- Managing projects, permissions, or platform resources

## Core Capabilities

The skill is organized into five main areas, each with detailed reference documentation:

### 1. App Development

**Purpose**: Create executable programs (apps/applets) that run on the DNAnexus platform.

**Key Operations**:
- Generate app skeleton with `dx-app-wizard`
- Write Python or Bash apps with proper entry points
- Handle input/output data objects
- Deploy with `dx build` or `dx build --app`
- Test apps on the platform

**Common Use Cases**:
- Bioinformatics pipelines (alignment, variant calling)
- Data processing workflows
- Quality control and filtering
- Format conversion tools

**Reference**: See `references/app-development.md` for:
- Complete app structure and patterns
- Python entry point decorators
- Input/output handling with dxpy
- Development best practices
- Common issues and solutions

### 2. Data Operations

**Purpose**: Manage files, records, and other data objects on the platform.

**Key Operations**:
- Upload/download files with `dxpy.upload_local_file()` and `dxpy.download_dxfile()`
- Create and manage records with metadata
- Search for data objects by name, properties, or type
- Clone data between projects
- Manage project folders and permissions

**Common Use Cases**:
- Uploading sequencing data (FASTQ files)
- Organizing analysis results
- Searching for specific samples or experiments
- Backing up data across projects
- Managing reference genomes and annotations

**Reference**: See `references/data-operations.md` for:
- Complete file and record operations
- Data object lifecycle (open/closed states)
- Search and discovery patterns
- Project management
- Batch 

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