A Bayesian compositional estimator for microbial taxonomy based on biomarkers

K. Van den Meersche; J.J. Middelburg; K.E.R. Soetaert

doi:10.4319/lom.2008.6.190

A Bayesian compositional estimator for microbial taxonomy based on biomarkers

K. Van den Meersche, J.J. Middelburg, K.E.R. Soetaert

Research output: Contribution to journal/periodical › Article › Scientific › peer-review

Abstract

Determination of microbial taxonomy based on lipid or pigment spectra requires use of a compositional estimator. We present a new approach based on Bayesian inference and an implementation in the open software platform R. The Bayesian Compositional Estimator (BCE) aims not only to obtain a maximum likelihood solution, but also to provide a complete estimate of the taxonomic composition, including probability distributions and dependencies between estimated values. BCE results are compared with those obtained with CHEMTAX. The BCE has not only a similar accuracy, but also extracts more information from the data, the most obvious being standard deviation and covariance estimates

Original language	English
Pages (from-to)	190-199
Journal	Limnology and Oceanography Methods
Volume	6
DOIs	https://doi.org/10.4319/lom.2008.6.190
Publication status	Published - 2008

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Van den Meersche, K., Middelburg, J. J., & Soetaert, K. E. R. (2008). A Bayesian compositional estimator for microbial taxonomy based on biomarkers. Limnology and Oceanography Methods, 6, 190-199. https://doi.org/10.4319/lom.2008.6.190

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