{"refrec":{"BRefID":122843,"RR":"<b>Van den Meersche, K.; Soetaert, K.; Middelburg, J.J.</b> (2008). A Bayesian Compositional Estimator for microbial taxonomy based on biomarkers. <i>Limnol. Oceanogr., Methods 6(5)</i>: 190-199. <a href=\"https://dx.doi.org/10.4319/lom.2008.6.190\" target=\"_blank\">https://dx.doi.org/10.4319/lom.2008.6.190</a>","BEntID":116872,"PublicFlag":1,"CheckedFlag":1,"wosflag":1,"vabbflag":0,"RefStringPartII":". <i>Limnol. Oceanogr., Methods 6(5)</i>: 190-199. <a href=\"https://dx.doi.org/10.4319/lom.2008.6.190\" target=\"_blank\">https://dx.doi.org/10.4319/lom.2008.6.190</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"Van den Meersche, K.; Soetaert, K.; Middelburg, J.J.","OrigTitleTranslFlag":0,"Authorstringtrunc":"Van den Meersche, K. <i>et al.</i>","Englishabstract":"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. 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