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Modelling of zero-inflation improves inference of metagenomic gene count data

News: Dec 04, 2018

Metagenomics enables the study of gene abundances in complex mixtures of microorganisms and has become a standard methodology for the analysis of the human microbiome. However, gene abundance data is inherently noisy and contains high levels of biological and technical variability. In this study a new statistical model is presented which has, compared to other methods, a higher performance to identify genes that changes in abundance. These results will improve the ability to study antibiotic resistance genes in bacterial communities.

Link: https://journals.sagepub.com/eprint/qYhehXEPmkAaWgSCbMtq/full


Page Manager: Webbredaktionen|Last update: 6/26/2018

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