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In this section, we demonstrate the robustness of the method to coregistration errors by using two sets of simulated data and a real dataset.
In this activity for grades 9 12, students learn the differences between gradualism and punctuated equilibria by manipulating two sets of simulated fossils (Caminalcules).
We apply the proposed algorithm on two sets of simulated data to validate its performance in situations where the objects are either occluded or placed in dense dynamic scenario.
The two sets of simulated alignments, amino acid and nucleotide, were generated with Seq-Gen v1.3.2 software [ 17].
In order to study the four aligners' performance on reads from repetitive regions, we use the two sets of simulated data as mentioned in the Data Set subsection.
Second, the Monte Carlo method was used to generate two sets of simulated data sets assuming the underreported rate of GDM was 0.5% and 1.0%.
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We analyzed three sets of simulated data: Simulation A: We simulated 100 datasets, which each contained genotypes of 100 Mg (purebred Microcebus griseorufus), 100 Mm (purebred M. murinus), 10 F1 (Mg × Mm) and 10 F2 (F1 × F1).
Also to access the performance of this techniques, Cerrato and Cheung (2007) priced an American Asian Arithmetic Average call option using three sets of simulated trajectories.
Three sets of simulated problems with known optimal solutions are solved using CPGEA, and the gap between its solutions and optimal solutions is measured.
To test the effectiveness of the EA algorithm, we generated four sets of simulated data.
To start with a relatively easy test, we mapped our three sets of simulated reads to the human reference genome containing Chromosomes 1 22 and X of hg19.
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