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• W2116412478 abstract "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.Within this general framework, we show that spaced seeds provide a significant improvement of classification accuracy, as opposed to traditional contiguous k-mers. We support this thesis through a series of different computational experiments, including simulations of large-scale metagenomic projects.Availability and implementation, Supplementary information: Scripts and programs used in this study, as well as supplementary material, are available from http://github.com/gregorykucherov/spaced-seeds-for-metagenomics.gregory.kucherov@univ-mlv.fr." @default.
• W2116412478 created "2016-06-24" @default.
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• W2116412478 date "2015-07-25" @default.
• W2116412478 modified "2023-10-04" @default.
• W2116412478 title "Spaced seeds improve <i>k</i>-mer-based metagenomic classification" @default.
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• W2116412478 doi "https://doi.org/10.1093/bioinformatics/btv419" @default.
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