PEGR
PEGR manages metadata, data-processing workflows, and quality-control tracking to support reproducible epigenomic and genomic sequencing experiments.
Key Features:
- Metadata Logging: Logs detailed metadata for samples and sequencing experiments to ensure comprehensive documentation.
- Data Processing Workflow Management: Manages data-processing workflows for multiple assays and bioinformatic pipelines.
- Quality Control and Tracking: Tracks quality-control metrics and experimental provenance across the project lifecycle.
- Integration with Galaxy Platform: Integrates with the Galaxy platform to enable use of Galaxy bioinformatics tools and workflows.
Scientific Applications:
- High-throughput sequencing: Supports management, tracking, and quality control in high-throughput sequencing environments.
- Epigenomic and genomic studies: Enables studies that integrate wet-lab biochemistry with bioinformatic analysis across multiple assays and pipelines.
- Reproducible research workflows: Facilitates reproducible analyses for both wet-lab biochemists and bioinformaticians by preserving metadata, workflows, and QC data.
Methodology:
PEGR logs metadata for samples and sequencing experiments, manages data-processing workflows for multiple assays and bioinformatic pipelines, tracks quality-control metrics and experimental provenance, and integrates with the Galaxy platform.
Topics
Details
- License:
- MIT
- Cost:
- Free of charge
- Tool Type:
- library
- Operating Systems:
- Mac
- Programming Languages:
- Groovy, JavaScript, Python
- Added:
- 11/28/2021
- Last Updated:
- 11/28/2021
Operations
Publications
Shao D, Kellogg GD, Nematbakhsh A, Kuntala P, Mahony S, Pugh BF, Lai WK. PEGR: a flexible management platform for reproducible epigenomic and genomic research. Unknown Journal. 2021. doi:10.1101/2021.07.26.453821.