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A Bayesian compositional estimator for microbial taxonomy based on biomarkers

Van den Meersche, K. and Middelburg, J.J. and Soetaert, K.E.R. (2008) A Bayesian compositional estimator for microbial taxonomy based on biomarkers. Limnology and Oceanography Methods, 6, 190-199. ISSN 1541-5856.

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Official URL: http://dx.doi.org/10.4319/lom.2008.6.190

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

Item Type:Article
Institutes:Nederlands Instituut voor Ecologie (NIOO)
ID Code:4725
Deposited On:29 Sep 2009 02:00
Last Modified:15 Jan 2014 09:19

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