SimPlot++

SimPlot++ generates sequence similarity plots and detects homologous recombination events to support evolutionary and comparative analyses of nucleotide and amino acid sequences.


Key Features:

  • Sequence Similarity Plots: Generates publication-quality plots using 63 nucleotide and 20 amino acid distance models.
  • Recombination Detection: Detects intergenic and intragenic recombination using statistical tests including Φ (Phi), Max-χ² (Chi-squared), NSS (Nearest Sequenced Segment), and proportion tests.
  • Interactive Sequence Similarity Networks: Creates and analyzes interactive sequence similarity networks for exploring complex genetic relationships.
  • Multicore Data Processing: Employs multicore parallel processing to accelerate analyses on large datasets.
  • Distance Calculability Diagnostics: Provides diagnostics to assess distance calculability and the reliability of similarity measures.

Scientific Applications:

  • Evolutionary Biology: Investigating genetic variation and evolutionary relationships using nucleotide and amino acid sequence analyses.
  • Phylogenetic Studies: Assessing sequence similarity and recombination to inform phylogenetic inference.
  • Viral Evolution: Analyzing recombination and sequence similarity among viral strains.
  • Comparative Genomics: Comparing nucleotide and amino acid sequences across species or strains to study divergence and conservation.

Methodology:

Models sequence distances with 63 nucleotide and 20 amino acid distance models, applies multiple statistical tests (Φ, Max-χ², NSS, proportion tests) to detect intergenic and intragenic recombination, includes diagnostics for distance calculability, and performs analyses using multicore parallel processing.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
7/25/2022
Last Updated:
11/24/2024

Operations

Publications

Samson S, Lord É, Makarenkov V. SimPlot++: a Python application for representing sequence similarity and detecting recombination. Bioinformatics. 2022;38(11):3118-3120. doi:10.1093/bioinformatics/btac287. PMID:35451456.

PMID: 35451456
Funding: - Fonds Québécois de la Recherche sur la Nature et les Technologies: 173878 - Natural Sciences and Engineering Research Council of Canada: 249644