MasterOfPores

MasterOfPores processes Oxford Nanopore Technologies direct RNA sequencing data to convert raw current signals into base-called, mapped, and quantified outputs for RNA modification detection, poly(A) tail length estimation, and isoform-level analyses.


Key Features:

  • Direct RNA sequencing capability: Supports Oxford Nanopore direct RNA sequencing to analyze native RNA molecules without cDNA conversion.
  • Raw signal processing: Converts raw nanopore current intensities into processed data and quality metrics.
  • Quality assessment and filtering: Implements quality assessment and filtering of reads and signal-derived data.
  • Base-calling: Performs base-calling of nanopore signal into nucleotide sequences.
  • Mapping: Maps reads to reference genomes or transcripts for downstream analyses.
  • Quantification and outputs: Produces per-gene counts, RNA modification profiles, poly(A) tail length predictions, and RNA isoform identifications.
  • Nextflow integration: Implemented in Nextflow to enable parallelization and portability across computing environments.
  • Containerization: Uses Docker and Singularity containers to ensure reproducible execution.

Scientific Applications:

  • Epitranscriptomics: Detection and profiling of RNA modifications from nanopore signal to study chemical modifications on RNA.
  • Poly(A) tail analysis: Single-molecule estimation of poly(A) tail lengths to investigate RNA stability and dynamics.
  • Isoform-level transcriptomics: Identification of RNA isoforms from long reads to characterize transcript diversity.
  • Gene expression quantification: Generation of per-gene counts from mapped reads for differential expression and transcriptomic studies.

Methodology:

Conversion of raw nanopore current intensities into processed data, followed by quality assessment and filtering, base-calling, and mapping to reference genomes or transcripts within a modular Nextflow workflow executed using Docker or Singularity containers.

Topics

Details

License:
MIT
Tool Type:
command-line tool
Added:
1/9/2020
Last Updated:
12/23/2020

Operations

Publications

Cozzuto L, Liu H, Pryszcz LP, Pulido TH, Ponomarenko J, Novoa EM. Parallel and scalable workflow for the analysis of Oxford Nanopore direct RNA sequencing datasets. Unknown Journal. 2019. doi:10.1101/818336.