%0 Journal Article %1 haller2017flexible %A Haller, Benjamin C. %A Messer, Philipp W. %D 2017 %J Molecular Biology and Evolution %K forwards_time methods simulation software %N 1 %P 230-240 %R 10.1093/molbev/msw211 %T SLiM 2: Flexible, Interactive Forward Genetic Simulations %U /brokenurl# + http://dx.doi.org/10.1093/molbev/msw211 %V 34 %X Modern population genomic datasets hold immense promise for revealing the evolutionary processes operating in natural populations, but a crucial prerequisite for this goal is the ability to model realistic evolutionary scenarios and predict their expected patterns in genomic data. To that end, we present SLiM 2: an evolutionary simulation framework that combines a powerful, fast engine for forward population genetic simulations with the capability of modeling a wide variety of complex evolutionary scenarios. SLiM achieves this flexibility through scriptability, which provides control over most aspects of the simulated evolutionary scenarios with a simple R-like scripting language called Eidos. An example SLiM simulation is presented to illustrate the power of this approach. SLiM 2 also includes a graphical user interface for simulation construction, interactive runtime control, and dynamic visualization of simulation output, facilitating easy and fast model development with quick prototyping and visual debugging. We conclude with a performance comparison between SLiM and two other popular forward genetic simulation packages.

@article{haller2017flexible, abstract = {Modern population genomic datasets hold immense promise for revealing the evolutionary processes operating in natural populations, but a crucial prerequisite for this goal is the ability to model realistic evolutionary scenarios and predict their expected patterns in genomic data. To that end, we present SLiM 2: an evolutionary simulation framework that combines a powerful, fast engine for forward population genetic simulations with the capability of modeling a wide variety of complex evolutionary scenarios. SLiM achieves this flexibility through scriptability, which provides control over most aspects of the simulated evolutionary scenarios with a simple R-like scripting language called Eidos. An example SLiM simulation is presented to illustrate the power of this approach. SLiM 2 also includes a graphical user interface for simulation construction, interactive runtime control, and dynamic visualization of simulation output, facilitating easy and fast model development with quick prototyping and visual debugging. We conclude with a performance comparison between SLiM and two other popular forward genetic simulation packages.}, added-at = {2017-09-07T07:43:51.000+0200}, author = {Haller, Benjamin C. and Messer, Philipp W.}, biburl = {https://www.bibsonomy.org/bibtex/22e14b7b2ff6427c63e86a242ca9daf4a/peter.ralph}, doi = {10.1093/molbev/msw211}, interhash = {28118a3e484b93a0c71432fc04a614f8}, intrahash = {2e14b7b2ff6427c63e86a242ca9daf4a}, journal = {Molecular Biology and Evolution}, keywords = {forwards_time methods simulation software}, number = 1, pages = {230-240}, timestamp = {2017-09-07T07:44:49.000+0200}, title = {{SLiM} 2: Flexible, Interactive Forward Genetic Simulations}, url = {/brokenurl# + http://dx.doi.org/10.1093/molbev/msw211}, volume = 34, year = 2017 }