TRviz

TRviz provides a Python library that analyzes and visualizes tandem repeat (TR) sequences by decomposing, encoding, aligning, and plotting motif composition for genomic studies.

Key Features:

• Decomposition and Encoding: Accepts collections of alleles and one or more motifs and decomposes TR sequences into constituent motifs and encoded representations.
• Alignment: Aligns TR sequences based on specified motifs to identify similarities and variations within datasets.
• Visualization: Produces plots that illustrate motif composition of TR sequences to represent repeat structure and variation.

Scientific Applications:

• Genomic Research: Assists in identifying TR mutations and motif changes that may be linked to genetic disorders.
• Evolutionary Studies: Enables analysis of motif variation across species or populations to study evolutionary processes.
• Forensic Science: Supports investigation of genetic markers in tandem repeat regions relevant to forensic analyses.

Methodology:

TRviz takes user-defined alleles and motifs as input, decomposes and encodes TR sequences, aligns them based on specified motifs, and generates plots that display motif composition.