To do so, we first developed a simulation procedure (T1Galan Simul) less computationally intensive but still highly comparable to T1Galan Negmult.
For this performance evaluation, we have developed a simulation program, which allows simulating phyletic pattern data under various scenarios of gain and loss dynamics.
In [ 27], authors developed a simulation and evaluation suite, SEAL, which simulates NGS runs for different configurations of various factors, including sequencing error, indels, and coverage.
To quantify this response of cotton fibre quality to environment and management, we developed a simulation model of cotton growth and development, CottonXL.
For example, Ruffalo et al. developed a simulation and evaluation suite to compare a few available aligners only using simulated data [ 25].
The following year he joined the British Iron and Steel Research Association, where he developed a simulation program that enabled industrial processes to be modelled on a computer.
Working at the University of California, San Diego, he eventually developed a simulation of how three or more layers of neurons could work together to process information — as is required for the brain to engage in any complex task, like reading.
By using the proposed model, we developed a simulation program based on MATLAB and Simulink.
Using the new data set, Essington and his colleagues also developed a simulation to explore the risk.
In our study, we developed a simulation tool based on finite elements modeling.
We have developed a simulation model to assist in the conservation of such populations, called MANAGE.
