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.

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