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

  • Danying Shao
  • , Gretta D. Kellogg
  • , Ali Nematbakhsh
  • , Prashant K. Kuntala
  • , Shaun Mahony
  • , B. Franklin Pugh
  • , William K.M. Lai

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article number99
JournalGenome biology
Volume23
Issue number1
DOIs
StatePublished - Dec 2022

All Science Journal Classification (ASJC) codes

  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Cell Biology

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