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BioinformaticsBioinformatics
Peer-reviewed journal article

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

Haoliang XueiD, Mélina GallopiniD, Camille MarchetiD, Ha N Nguyen, Yunfeng WangiD, Antoine LainéiD, Chloé BessièreiD, Daniel GautheretiD

Abstract

SummaryKaMRaT is a program for processing large k-mer count tables extracted from high throughput sequencing data. Major functions include scoring k-mers based on count statistics, merging overlapping k-mers into longer contigs and selecting k-mers based on their presence in certain samples. KaMRaT s main application is the reference-free analysis of multi-sample and multi-condition datasets from RNA-seq, as well as ChiP-seq or ribo-seq experiments. KaMRaT enables the identification of condition-specific or differential sequences, irrespective of any gene or transcript annotation. Implementation and availabilityKaMRaT is implemented in C++. Source code and documentation are available via https://github.com/Transipedia/KaMRaT. Container images are available via https://hub.docker.com/r/xuehl/kamrat.

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