{"refrec":{"BRefID":143187,"RR":"<b>Van den Meersche, K.; Soetaert, K.; Middelburg, J.J.</b> (2009). A Bayesian Compositional Estimator for microbial taxonomy based on biomarkers, <b><i>in</i></b>: Van den Meersche, K. <i>Carbon flows in the planktonic food web of temperate estuaries: a combined approach using stable isotopes, biomarkers and modeling.</i> pp. 51-66","BEntID":307006,"PublicFlag":1,"CheckedFlag":0,"wosflag":0,"vabbflag":0,"RefStringPartII":", <b><i>in</i></b>: Van den Meersche, K. <i>Carbon flows in the planktonic food web of temperate estuaries: a combined approach using stable isotopes, biomarkers and modeling.</i> pp. 51-66","DocTypID":17,"DocType":"Book chapters","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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