ModPhred

ModPhred encodes, preserves, extracts, and analyzes DNA and RNA modification probabilities within sequencing data to enable per-read modification profiling and visualization.


Key Features:

  • Encoding Modification Probabilities: modEncode encodes DNA and RNA modification probabilities directly into FastQ files.
  • Alignment with Modification Information: modAlign constructs alignments while preserving modification data within BAM files.
  • Data Extraction and Quality Control: modReport extracts RNA modification information and generates quality-control reports.
  • Advanced Visualization and Analysis: modAnalysis provides visualization and analysis including Venn diagrams via mod_plot.py, co-occurrence analysis of modifications, and per-read clustering based on modification profiles.

Scientific Applications:

  • Epigenetics and transcriptomics: Enables analysis of DNA and RNA modifications relevant to epigenetic and transcriptomic studies.
  • Read-level visualization: Facilitates integration of modification data into genomic track viewers for granular, per-read visualization.
  • Biological mechanism studies: Supports investigations into gene regulation, disease mechanisms, and evolutionary biology via modification profiling.

Methodology:

modEncode writes modification probabilities into FastQ; modAlign preserves modification data in BAM during alignment; modReport extracts RNA modification information and produces QC reports; modAnalysis generates plots (including Venn diagrams via mod_plot.py), assesses modification co-occurrence, and performs per-read clustering; the software is implemented in Python3.

Topics

Details

License:
MIT
Tool Type:
workflow
Programming Languages:
Python
Added:
10/11/2021
Last Updated:
11/24/2024

Operations

Publications

Pryszcz LP, Novoa EM. ModPhred: an integrative toolkit for the analysis and storage of nanopore sequencing DNA and RNA modification data. Bioinformatics. 2021;38(1):257-260. doi:10.1093/bioinformatics/btab539. PMID:34293115.

PMID: 34293115
Funding: - European Union’s H2020 research and innovation programme under Marie Sklodowska-Curie: 754422 - Spanish Ministry of Economy, Industry and Competitiveness: PGC2018-098152-A-100

Documentation

Links