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In order to model the solution, which was used for the percolating of the rock sample, the software PHREEQC (Parkhurst and Appelo 2013) is used.
Next, for each sample, the software automatically identified the presence of alleles (peaks) and the area under the peak.
Next, for each sample, the software automatically identified the presence of alleles (peaks), their height and the area under the peak.
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For the analysis of EEG samples the software development environment was MATLAB R2008b.
For single samples, the software outputs estimates of the frequencies of processing events and annotated full-length isoforms.
More recently, Corander et al. (2004) applied the complete linkage algorithm to the output form their MCMC sampler (the software package BAPS).
The laboratory test setup and the FE modeled sample in the software are shown in Figs. 6 and 7. RC specimen has been modeled in ABAQUS software.
The diversity indices (i.e., Chao 1, Shannon Weiner and Simpson) were calculated for each sediment sample using the software Mothur version 1.23.0.
Combined with actual data of oil field as sample set, the software establishes an intelligent optimization analysis model through neural network and numerical analysis methods.
Aside from simplifying the sample preparation, the software "Auto-lymphocyte" allows automatic lecture which greatly reduces manipulations required by laboratory technicians.
Using our consensus transcriptome as a reference, we mapped the original short sequence reads for each sample with the software bwa-0.5.7.
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