TRACE: Open-Source Software for Quantifying Somatic Variation of Tandem Repeats by Capillary Electrophoresis
Andrew Jiang1,2,3, Kevin Correia1, Tammy Gillis1
1Molecular Neurogenetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, 02114, USA.
Biorxiv : the Preprint Server for Biology
|February 6, 2026
Summary
Researchers developed TRACE, an open-source software to analyze DNA repeat instability in human disorders. This tool simplifies quantifying somatic instability (SI), making it widely accessible for disease research.
Area of Science:
- Genetics
- Molecular Biology
- Bioinformatics
Background:
- Expanded short tandem DNA repeats are linked to over 60 human diseases.
- Somatic instability (SI) of these repeats is critical in disease pathogenesis, notably in Huntington's disease.
- Current methods for quantifying SI, like PCR and capillary electrophoresis, often require expensive proprietary software and custom pipelines.
Purpose of the Study:
- To develop an accessible, open-source software for end-to-end analysis of somatic repeat instability.
- To provide a standardized and efficient tool for quantifying SI metrics from fragment analysis data.
- To create an interactive web application for broader user accessibility.
Main Methods:
- Development of Tandem Repeats Analysis by Capillary Electrophoresis (TRACE), an open-source software.
- Creation of TRACE-shiny, an associated web application for interactive use.
- Benchmarking TRACE outputs against published datasets to validate its utility.
Main Results:
- TRACE processes fragment analysis data from raw files to SI metrics.
- The software eliminates the need for proprietary software and custom pipelines.
- Validated utility of TRACE for studying genetic and pharmacological modifiers of SI.
Conclusions:
- TRACE provides a widely accessible, open-source solution for analyzing somatic repeat expansion.
- The developed software and web app streamline the quantification of SI, aiding disease research.
- TRACE facilitates advanced analysis of SI, promoting broader scientific engagement in repeat expansion disorders.
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