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src/p/e/PEATDB-2.3/PEATDB/plugins/KineticsAnalysis.py   PEATDB(Download)
            for d in E.datasets:
                ferrs = E.estimateExpUncertainty(d, runs=10)
                E.addMeta(d, 'exp_errors', ferrs)
            E.saveProject(os.path.join(self.path, name.replace(' ','')+'_temp'))
 
                    try:
                        ferrs = E.estimateExpUncertainty(dsetname, runs=10)
                        E.addMeta(dsetname, 'exp_errors', ferrs)
                    except:
                        ferrs = E.estimateExpUncertainty(dsetname, runs=2)
                        E.addMeta(dsetname, 'exp_errors', ferrs)
        for d in E.datasets:
            ferrs = E.estimateExpUncertainty(d, runs=10)
            E.addMeta(d, 'exp_errors', ferrs)
 
        #Extract mm data and fit to michealis-menten
        for d in mmdatasets:
            ferrs = E.estimateExpUncertainty(d, runs=10)
            E.addMeta(d, 'exp_errors', ferrs)
 
        return E

src/p/e/PEATDB-2.3/PEATDB/Ekin/Titration.py   PEATDB(Download)
                        continue
                    #print d, ferrs
                    E.addMeta(d, 'exp_errors', ferrs)
            #we have added meta_data, so overwrite dict with ekinproject
            ekindata[prot] = E.prepare_data()