Genomics & Transcriptomics Workflows

Tools and workflows for analyzing DNA, RNA, and other sequencing data. From quality control to variant calling, these workflows help you process and analyze genomic data efficiently.

Overview

This collection includes workflows for:

• Quality Control - Assess and validate sequencing data quality
• Genome Assembly - De novo assembly and scaffolding
• RNA-Seq Analysis - Transcriptome quantification and differential expression
• Variant Calling - SNP and indel detection pipelines
• Genome Annotation - Functional annotation and analysis

Available Workflows

Browse the workflows in this category to find tools for your genomics research. Each workflow includes complete documentation, configuration examples, and best practices.

System Requirements

Minimum:

• CPU: 4 cores
• RAM: 8GB
• Storage: 50GB SSD

Recommended for production:

• CPU: 16+ cores
• RAM: 64GB+
• Storage: 500GB+ NVMe SSD

Getting Started

Deploy workflows using the dxflow interface or CLI:

# Deploy a genomics workflow
dxflow compose create --identity <workflow-name> <compose-file>
dxflow compose start <workflow-name>

Explore the workflows below to start analyzing your genomic data!