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PEGR: a flexible management platform for reproducible epigenomic and genomic research.

Danying ShaoGretta D KelloggAli NematbakhshPrashant K KuntalaShaun MahonyB Franklin PughWilliam K M Lai
Published in: Genome biology (2022)
Reproducibility is a significant challenge in (epi)genomic research due to the complexity of experiments composed of traditional biochemistry and informatics. Recent advances have exacerbated this as high-throughput sequencing data is generated at an unprecedented pace. Here, we report the development of a Platform for Epi-Genomic Research (PEGR), a web-based project management platform that tracks and quality controls experiments from conception to publication-ready figures, compatible with multiple assays and bioinformatic pipelines. It supports rigor and reproducibility for biochemists working at the bench, while fully supporting reproducibility and reliability for bioinformaticians through integration with the Galaxy platform.
Keyphrases
  • high throughput
  • copy number
  • high throughput sequencing
  • quality improvement
  • big data
  • machine learning
  • single cell