Can this skill help with FASTQ and BAM file processing?

Yes, it includes specific patterns for handling common sequencing data formats, including efficient upload, download, and processing within cloud-native apps.

What is the primary benefit of using this DNAnexus skill?

It provides specialized implementation patterns and documentation for the DNAnexus platform, helping you write correct dxpy code and configuration files significantly faster.

Does it support Docker integration for bioinformatics tools?

Absolutely. The skill provides detailed guidance on integrating Docker containers within your dxapp.json configuration to manage complex software dependencies.

Is it suitable for managing large-scale batch processing?

Yes, the skill contains specific code patterns for launching parallel subjobs and monitoring status across large sample cohorts.

How does it handle authentication with the DNAnexus platform?

It guides users through the standard 'dx login' process and follows platform best practices for secure credential management and project permissions.

DNAnexus Integration

Name: DNAnexus Integration
Author: lifangda

bylifangda

•

Data Science & ML

Streamlines genomics data analysis and pipeline development on the DNAnexus cloud platform using the dxpy SDK and CLI tools.

This skill enables seamless interaction with the DNAnexus genomics platform, providing expert guidance for building cloud-native apps, managing large-scale biological datasets, and orchestrating complex bioinformatics workflows. It simplifies the development process by assisting with dxapp.json configurations, Python SDK (dxpy) implementation, and job execution patterns. Whether you are processing FASTQ files, managing BAM/VCF data, or deploying Dockerized bioinformatics tools, this integration provides the domain-specific knowledge needed to automate genomic research in a secure and scalable cloud environment.

Key Features

01Advanced workflow orchestration and job monitoring capabilities

02Detailed Python SDK (dxpy) implementation patterns and best practices

03Optimized configuration for Docker integration and resource management

0416 GitHub stars

05Comprehensive data lifecycle management for FASTQ, BAM, and VCF files

06Automated app and applet skeleton generation and platform deployment

Use Cases

01Building scalable bioinformatics pipelines for variant calling and alignment

02Automating batch processing of sequencing data across cloud projects

03Managing and searching large-scale genomic datasets with custom metadata

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lifangda/claude-plugins dnanexus-integration

For use in Claude.ai and ChatGPT

Download Skill