Spaced seeds improve k-mer-based metagenomic classification

Abstract

MOTIVATION Metagenomics is a powerful approach to study genetic content of environmental samples, which has been strongly promoted by next-generation sequencing technologies. To cope with massive data involved in modern metagenomic projects, recent tools rely on the analysis of k-mers shared between the read to be classified and sampled reference genomes… (More)
DOI: 10.1093/bioinformatics/btv419

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