MutSeqR
MutSeqR provides standardized methods for analysis of mutation data following error-corrected sequencing (ECS) for the purpose of mutagenicity assessment.
Key Features:
- Variant Import: Functions import mutation lists provided by a variant caller.
- Statistical Testing: Analytical tools perform statistical testing of mutation data.
- Visualization: Functions support visualization of mutation data.
- Signature Comparison: Mutation data can be compared to COSMIC and/or germline signatures.
- Variant Filtering: Practical variant filtering is available for ECS mutation data.
- Comparative Analysis: The package enables comparative analysis of mutation frequency between experimental conditions.
- Dose-Response Assessment: Benchmark dose calculations support dose-response assessment.
- Mutation Spectrum Analysis: The package performs mutation spectrum analysis.
- Clonality Analysis: Clonality analyses are included in the package functionality.
Scientific Applications:
- Mutagenicity Assessment: The package analyzes ECS mutation data for genetic toxicology studies and mutagenicity testing.
- Genetic Toxicology: MutSeqR supports assessment of mutagenicity and other genetic toxicology endpoints.
- Regulatory Applications: The package facilitates regulatory applications in mutagenicity testing.
- Cross-Platform Reproducibility: Flexible functions enable reproducible analyses across ECS platforms including Duplex Sequencing and SMM-seq.
Methodology:
MutSeqR imports mutation lists provided by a variant caller and applies analytical tools for statistical testing, visualization, signature comparison, variant filtering, comparative analysis of mutation frequency, benchmark dose calculations, mutation spectrum analysis, and clonality analysis.
Collections
Details
- License:
- MIT
- Tool Type:
- command-line tool, library
- Operating Systems:
- Linux, Mac, Windows
- Programming Languages:
- R
- Added:
- 8/30/2026
- Last Updated:
- 8/30/2026
Operations
Publications
Documentation
User manual
https://bioconductor.org/packages/MutSeqR