Does it support multi-step workflow orchestration?

Yes, it provides patterns for chaining jobs together, creating subjobs for parallel processing, and passing output references between analysis steps.

Can I use this for bioinformatics file management?

Absolutely. It includes specific guidance for handling large files like FASTQ, BAM, and VCF, including upload, download, and metadata tagging operations.

Does this skill support the Python dxpy SDK?

Yes, it provides detailed patterns and documentation for writing Python scripts to interact with DNAnexus objects, handlers, and APIs.

How does it help with app deployment?

It assists in creating dxapp.json configurations, managing system dependencies via Docker or execDepends, and using CLI tools to push apps to the platform.

What is the DNAnexus Integration skill for?

It helps developers build, deploy, and manage genomics applications and data on the DNAnexus cloud platform using Claude's AI assistance.

DNAnexus Genomics Integration

Name: DNAnexus Genomics Integration
Author: Activer007

byActiver007

0•

Cloud Infrastructure

Integrates Claude with the DNAnexus cloud platform to build genomics pipelines, manage biomedical data, and automate workflows using the dxpy SDK.

This skill empowers developers and bioinformaticians to interact seamlessly with the DNAnexus platform directly through Claude. It provides specialized support for building and deploying cloud apps, managing massive genomic datasets like FASTQ and BAM files, and orchestrating complex analysis workflows. By leveraging the dxpy Python SDK and platform-specific configurations like dxapp.json, the skill streamlines the entire lifecycle of biomedical data science—from initial data upload and project organization to high-performance job execution and resource management.

Key Features

01Dependency management using Docker and dxapp.json specifications

020 GitHub stars

03App and applet development with dx-app-wizard and dx build

04Comprehensive data management for genomic files and metadata

05Automated job execution and multi-step workflow orchestration

06Detailed dxpy Python SDK reference and implementation patterns

Use Cases

01Building automated bioinformatics pipelines for sequence alignment and variant calling

02Scripting batch processing jobs and monitoring cloud execution logs

03Managing large-scale genomic data uploads and systematic project organization

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add activer007/ordinary-claude-skills dnanexus-integration

For use in Claude.ai and ChatGPT

Download Skill