Abstract:Abstract. We present a new and efficient Bayesian mixture model based on Poisson and Multinomial distributions for clustering metagenomic reads by their species of origin. We use the relative abundance of different words along a genome to distinguish reads from different species. The distribution of word counts within a genome is accurately represented by a Poisson distribution. The Multinomial mixture model is derived as a standardized Poisson mixture model. The Bayesian network efficiently encodes the condit… Show more
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