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mutscan, an R package, allows for adaptable experimental analysis, managing the complete process from initial sequencing data to statistical conclusions and graphical displays. C++'s efficiency enables the implementation of the core components. Experimental designs offering flexibility with single or paired reads are available, optionally including unique molecular identifiers. Employing statistical models from the edgeR and limma packages, mutscan seek
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