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A Bayesian tree was constructed using MrBayes 3.2.5 (Ronquist et al. 2012) implemented with a Bayesian MCMC search, with two parallel runs of 2 million generations and four chains each.
Under the same performance conditions, the average prediction error of the migration time of the EOF marker was 5.46% with RSD = 1.76% according to 10 parallel runs of the optimized ANN structure by the proposed approach, and that of the 10 parallel predictions of the optimal ANN structure for the different performance conditions was 12.95% with RSD = 2.29% according to the proposed approach.
Two parallel runs of four chains (temp = 0.5) were run in MrBayes 3.1.2.
The program was set to run two parallel runs of 5,000,000 generations with 8 chains each, and save every 100th tree into a file.
This method normalizes and quantifies comparable peptides between parallel runs of different samples.
Each protein sample was subjected at least to 2 parallel runs of isolectrofocusing and second dimension electrophoretic separation to assess proteomic pattern reproducibility.
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The authors also wish to thank Marcelo Mollinari Departmentt of Genetics, University of São Paulo) for e-mail correspondence and modification to the Onemap software code in order to permit parallel running of the software.
Two parallel runs, each consisting of four chains, were run simultaneously for 1.0 × 10 generations.
Two parallel runs, each consisting of four incrementally heated chains were run for 2 x106 generations, sampling every 1000 generations.
Two parallel runs, each one consisting of three cold and one heated chains were set.
All enzymatic hydrolysis trials were performed in two parallel runs and the average of the two runs was used.
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