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PEPPRO: quality control and processing of nascent RNA profiling data.

Jason P Smith1,2, Arun B Dutta2, Kizhakke Mattada Sathyan2

  • 1Center for Public Health Genomics, University of Virginia, Charlottesville, USA.

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Summary
This summary is machine-generated.

A new workflow called PEPPRO standardizes nascent RNA sequencing data analysis. It ensures data quality and provides comprehensive reports for genomic research.

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Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Nascent RNA sequencing techniques like GRO-seq, PRO-seq, and ChRO-seq are increasingly used.
  • Existing methods lack a standardized pipeline for data processing and quality assessment.

Purpose of the Study:

  • Introduce PEPPRO, a scalable workflow for nascent RNA sequencing data analysis.
  • Provide uniform data processing and quality control for GRO-seq, PRO-seq, and ChRO-seq.

Main Methods:

  • Developed a comprehensive and scalable bioinformatics workflow named PEPPRO.
  • Integrated modules for adapter abundance, RNA integrity, library complexity, nascent RNA purity, and run-on efficiency assessment.
  • Ensured the workflow is restartable, fault-tolerant, and generates detailed logs and web reports.

Main Results:

  • PEPPRO produces uniformly processed output files suitable for downstream analysis.
  • The workflow effectively assesses key quality metrics for nascent RNA data.
  • PEPPRO is adaptable for local or cluster execution, offering a portable solution.

Conclusions:

  • PEPPRO establishes a standardized, high-quality analysis pipeline for nascent RNA sequencing.
  • Facilitates reliable genomic research by ensuring robust data processing and quality assessment.
  • Offers a crucial first step for researchers analyzing nascent RNA data.