USAT
USAT analyzes and visualizes tandem repeat (TR) haplotypes at single-nucleotide resolution to characterize alleles, compare haplotypes, and assess allele distribution for genetic, forensic, and diagnostic applications.
Key Features:
- Input processing: Processes TR haplotype outputs generated by existing bioinformatic tools.
- Allele size conversion: Converts allele sizes between sequence-based and length-based representations.
- Sequence-level comparison: Performs sequence comparison of TR haplotypes at single-nucleotide resolution.
- Comparative allele distribution: Analyzes and compares allele distribution across samples.
- Figure plotting: Generates plots and figures representing haplotype and allele comparisons.
- Interactive visualization: Provides interactive visualization capabilities for TR sequence and allele inspection.
- Parallel computing: Utilizes parallel computing to enable rapid processing of TR haplotype data.
Scientific Applications:
- Individual identification: Supports high-resolution allele and haplotype discrimination for individual identification.
- Forensic DNA profiling (CODIS): Applied to analysis and benchmarking of CODIS core STR loci in forensic investigations.
- Disease diagnostics: Facilitates characterization of tandem repeat variation relevant to disease-associated loci.
- Evolutionary and population genetics: Enables comparative studies of TR variation for evolutionary and population analyses.
- Benchmarking and comparative studies: Used to benchmark human individuals and compare TR haplotypes across datasets.
Methodology:
Processes TR haplotype outputs from other tools and performs allele size conversion, sequence-level haplotype comparison, figure plotting, comparative allele distribution analysis, and parallelized computation with interactive visualization.
Topics
Details
- License:
- LGPL-2.1
- Cost:
- Free of charge
- Tool Type:
- command-line tool
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Java, Shell
- Added:
- 1/20/2023
- Last Updated:
- 11/24/2024
Operations
Publications
Wang X, Budowle B, Ge J. USAT: a bioinformatic toolkit to facilitate interpretation and comparative visualization of tandem repeat sequences. BMC Bioinformatics. 2022;23(1). doi:10.1186/s12859-022-05021-1. PMID:36402991. PMCID:PMC9675219.
Links
Repository
https://github.com/Ge-Lab/USAT