KaMRaT: a C++ toolkit for k-mer count matrix dimension reduction.

Xue, Haoliang; Gallopin, Mélina; Marchet, Camille; Nguyen, Ha N; Wang, Yunfeng; Lainé, Antoine; Bessiere, Chloé; Gautheret, Daniel · Bioinformatics · 2024

other · Level V

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Abstract

KaMRaT is designed for processing large k-mer count tables derived from multi-sample, RNA-seq data. Its primary objective is to identify condition-specific or differentially expressed sequences, regardless of gene or transcript annotation. KaMRaT is implemented in C++. Major functions include scoring k-mers based on count statistics, merging overlapping k-mers into contigs and selecting k-mers based on their occurrence across specific samples. Source code and documentation are available via https://github.com/Transipedia/KaMRaT.

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