About

Like other pipeline/workflow managers, Bio_pype improves scalability and reproducibility while simplifying daily bioinformatics analyses.

Bio_pype provides a modular framework for building analysis pipelines through three major components: Snippets, Pipelines, and Profiles.

Snippets

Snippets are the basic building blocks of pipelines. They act as wrappers that handle: - Command-line argument packaging - Input preprocessing - Tool execution - Output management

Most importantly, snippets provide a uniform interface that allows Bio_pype to connect multiple analysis steps into a complete pipeline.

Pipelines

A pipeline represents a series of analysis steps. In Bio_pype, pipelines are defined using YAML files that specify: - Which snippets to run - The order of execution - How snippets connect and share data - Resource requirements

Profiles

Profiles manage the execution environment by specifying: - Locations of reference data and genomes - Software installations and versions - System resource configurations - Environment modules and containers

This allows pipelines to run consistently across different systems while maintaining their logical structure.

Registry

The workflow registry is a package manager for bioinformatics workflows. It allows you to:

• Discover available workflows: pype registry search

• Install specific versions: pype registry install qc==2025.12.31-1

• Activate a workflow for use: set PYPE_MODULES to the installed path

• Publish and distribute your own workflows

Workflows are distributed via git repositories, versioned, and can be updated while preserving any local customizations made to previous versions.