What is the DNAnexus Integration skill used for?

It provides Claude with specialized knowledge to help users build, deploy, and manage genomics applications and data on the DNAnexus cloud platform.

Can I orchestrate complex workflows with this skill?

Yes, the skill includes implementation patterns for chaining multiple analysis steps and monitoring job status for sophisticated multi-stage bioinformatics pipelines.

How does this skill assist with app deployment?

It provides guidance on creating dxapp.json files, managing software dependencies, and using the dx-toolkit to build and upload executable apps to the platform.

Can I use this skill to write Python scripts for DNAnexus?

Yes, the skill includes extensive documentation and patterns for the dxpy Python SDK, enabling automation of data uploads, job execution, and project management.

Does it support common bioinformatics file formats?

Absolutely. It is specifically designed to help process and manage common genomics formats including FASTQ, BAM, and VCF files within the platform ecosystem.

DNAnexus Integration

Name: DNAnexus Integration
Author: Activer007

byActiver007

Data Science & ML

Integrates Claude with the DNAnexus platform to develop genomics apps, manage sequencing data, and orchestrate bioinformatics pipelines.

About

This skill enables developers and bioinformaticians to interact seamlessly with the DNAnexus cloud genomics platform. It provides comprehensive guidance for the entire development lifecycle, from scaffolding apps with the dx-app-wizard and managing data objects like FASTQ or VCF files to orchestrating complex workflows using the dxpy Python SDK. By providing domain-specific patterns for job execution, resource configuration via dxapp.json, and parallel batch processing, this skill streamlines the process of building and scaling secure, high-performance biomedical analysis pipelines in the cloud.

Key Features

End-to-end app and applet development using the DNAnexus SDK
Automated job execution and multi-step workflow orchestration
Comprehensive data management for genomic files and metadata
0 GitHub stars
Optimized Python SDK (dxpy) patterns for programmatic platform access
Advanced configuration for dxapp.json, dependencies, and Docker

Use Cases

Building parallelized batch processing workflows for high-throughput genomic analysis
Developing and deploying custom bioinformatics pipelines for variant calling and alignment
Automating large-scale data uploads and organization for sequencing projects

About

Key Features

End-to-end app and applet development using the DNAnexus SDK
Automated job execution and multi-step workflow orchestration
Comprehensive data management for genomic files and metadata
0 GitHub stars
Optimized Python SDK (dxpy) patterns for programmatic platform access
Advanced configuration for dxapp.json, dependencies, and Docker

Use Cases

Building parallelized batch processing workflows for high-throughput genomic analysis
Developing and deploying custom bioinformatics pipelines for variant calling and alignment
Automating large-scale data uploads and organization for sequencing projects