Ribo-Pop

Ribo-Pop performs antisense oligo design and probe selection to deplete ribosomal RNA (rRNA) prior to RNA-Seq library construction, enabling more comprehensive transcriptome sequencing.


Key Features:

  • Open-Source Accessibility: Provides an open-source workflow and antisense oligo design strategy that can be adapted for any organism with a sequenced genome.
  • Broad Applicability: Designed to operate across a wide range of RNA input levels and multiple species, addressing limitations of species-specific proprietary methods.
  • Probe Selection Pipeline: Implements a computational pipeline that builds consensus sequences for rRNA targets, screens potential probe sites against the genome and transcriptome to avoid non-rRNA matches, and selects probes that meet specified design parameters while minimizing non-specific targeting.
  • Streamlined Protocol: Supplies a 20-minute laboratory protocol and ready-to-use oligo sequences for several organisms.
  • Comprehensive Transcriptome Representation: Depletes rRNA rather than relying on poly(A) selection to retain non-polyadenylated and broader RNA species in RNA-Seq libraries.

Scientific Applications:

  • Comprehensive RNA abundance measurement: Enables quantification of diverse RNA species by reducing rRNA contamination in sequencing libraries.
  • Non-model and diverse organism studies: Adapts oligo design to any sequenced genome, facilitating transcriptome analysis in non-model organisms.
  • RNA-Seq workflow optimization: Improves the quality and comprehensiveness of RNA-Seq results by decreasing rRNA-derived reads.

Methodology:

Ribo-Pop provides two Snakemake workflows: ribo-pop_probe_design, which constructs consensus sequences for rRNA targets, screens candidate probe sites against the genome and transcriptome, and selects probes based on coverage and design parameters while avoiding non-specific interactions; and ribo-pop_rnaseq, which analyzes RNA-Seq data to assess depletion and sequencing outcomes.

Topics

Details

License:
MIT
Programming Languages:
Python
Added:
1/18/2021
Last Updated:
2/6/2021

Operations

Publications

Thompson MK, Kiourlappou M, Davis I. Ribo-Pop: Simple, cost-effective, and widely applicable ribosomal RNA depletion. Unknown Journal. 2020. doi:10.1101/2020.05.19.102293.

Links