uap

uap provides a Python-based workflow framework for controlled, reproducible multi-step high-throughput sequencing (HTS) and omics data analyses.

Key Features:

• Reproducibility: Enforces four defined reproducibility criteria for HTS workflows, addressing parameter variability and inconsistent execution paths.
• Workflow Management: Orchestrates controlled and coordinated multi-step analyses as a workflow management system.
• Flexibility and Extensibility: Optimized for omics data analysis and designed to be adaptable to other complex analytical tasks.

Scientific Applications:

• High-throughput sequencing (HTS) data analysis: Ensures reproducibility and verifiability of HTS analyses across studies and laboratories.
• Omics data analysis: Configures, executes, and manages multi-step omics workflows requiring consistent parameterization.

Methodology:

Python-based framework that integrates various bioinformatics tools into cohesive workflows, supports controlled and coordinated multi-step analyses, allows setting parameters for each analysis step, and enforces configurations to adhere to reproducibility standards.