TY - JOUR
AU - Miguel, Arenas
AB -  This is an original PLoS Computational Biology tutorial. Introduction This study is intended for evolutionary biologists interested in strategies for the simulation of molecular data under diverse evolutionary scenarios. It begins with a brief background on simulation approaches and describes some of the most important simulators developed to date. Then, several practical examples for simulating particular scenarios are presented, and finally, details are given on a variety of relevant applications of simulated data. Overall, this study provides a practical guide for applying simulation techniques to real world problems in molecular evolution. The Importance of Computer Simulations in Molecular Evolution A commonly used methodology to mimic the processes that occur in the real world is to perform computer simulations [1] . Computer simulations allow us to understand which patterns may dramatically alter a particular system and can be used to study complex processes, including those that are analytically intractable. Furthermore, the simulation of multiple replicates with stochasticity may provide the variability required to study numerous processes, such as those often found in evolution. In molecular evolution, the simulation of genetic data has been commonly used for hypothesis testing (e.g., [2] ), to compare and verify analytical methods or tools 
TI - Simulation of Molecular Data under Diverse Evolutionary Scenarios
JF - PLoS Computational Biology
DO - 10.1371/journal.pcbi.1002495
DA - 2012-05-31
UR - https://www.deepdyve.com/lp/public-library-of-science-plos-journal/simulation-of-molecular-data-under-diverse-evolutionary-scenarios-tm0NzUsHD0
VL - 8
IS - 5
DP - DeepDyve
ER -