When less is more: sketching with minimizers in genomics
Malick Ndiaye,
Silvia Prieto-Baños,
Lucy M. Fitzgerald
et al.
Abstract:The exponential increase in sequencing data calls for conceptual and computational advances to extract useful biological insights. One such advance, minimizers, allows for reducing the quantity of data handled while maintaining some of its key properties. We provide a basic introduction to minimizers, cover recent methodological developments, and review the diverse applications of minimizers to analyze genomic data, including de novo genome assembly, metagenomics, read alignment, read correction, and pangenome… Show more
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