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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

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Page Manager: Webbredaktionen|Last update: 6/26/2018
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Denna text är utskriven från följande webbsida:
http://care.gu.se/news-events/n//modelling-of-zero-inflation-improves-inference-of-metagenomic-gene-count-data.cid1601029
Utskriftsdatum: 2019-03-20