plotsr

plotsr visualizes synteny and structural rearrangements across multiple genomes to support comparative genomic analysis.

Key Features:

• High-Quality Visualization: Generates detailed visual representations of synteny and structural rearrangements between multiple genomes.
• Chromosome-Level Comparison: Enables comparisons at the chromosome level to assess structural organization across species or within populations.
• Zoom-In Capability: Provides the ability to focus on specific genomic regions for detailed examination of local structural features.
• Augmented Visualization Options: Incorporates regional identifiers such as genes or genomic markers and supports histogram tracks for continuous features like GC content and polymorphism density.
• Implementation: Implemented as a Python package that leverages the matplotlib library for plotting.

Scientific Applications:

• Comparative Genomics: Visualizes structural relationships between genomes to support analyses of similarity and divergence.
• Genome Evolution Analysis: Aids investigation of structural rearrangements relevant to evolutionary processes.
• Conserved Region Identification: Helps identify conserved syntenic regions across species.
• Genotype–Phenotype Studies: Assists investigation of structural variants that may underlie phenotypic traits.

Methodology:

Implemented in Python and uses matplotlib to generate plots, integrating regional identifiers (genes or genomic markers) and histogram tracks for features such as GC content and polymorphism density.