<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Haller BC</submitter><funding>National Institutes of Health</funding><funding>NIGMS NIH HHS</funding><pagination>1101-1109</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC6501880</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>36(5)</volume><pubmed_abstract>The SLiM forward genetic simulation framework has proved to be a powerful and flexible tool for population genetic modeling. However, as a complex piece of software with many features that allow simulating a diverse assortment of evolutionary models, its initial learning curve can be difficult. Here we provide a step-by-step demonstration of how to build a simple evolutionary model in SLiM 3, to help new users get started. We will begin with a panmictic neutral model, and build up to a model of the evolution of a polygenic quantitative trait under selection for an environmental phenotypic optimum.</pubmed_abstract><journal>Molecular biology and evolution</journal><pubmed_title>Evolutionary Modeling in SLiM 3 for Beginners.</pubmed_title><pmcid>PMC6501880</pmcid><funding_grant_id>R01GM127418</funding_grant_id><funding_grant_id>R01 GM127418</funding_grant_id><pubmed_authors>Haller BC</pubmed_authors><pubmed_authors>Messer PW</pubmed_authors></additional><is_claimable>false</is_claimable><name>Evolutionary Modeling in SLiM 3 for Beginners.</name><description>The SLiM forward genetic simulation framework has proved to be a powerful and flexible tool for population genetic modeling. However, as a complex piece of software with many features that allow simulating a diverse assortment of evolutionary models, its initial learning curve can be difficult. Here we provide a step-by-step demonstration of how to build a simple evolutionary model in SLiM 3, to help new users get started. We will begin with a panmictic neutral model, and build up to a model of the evolution of a polygenic quantitative trait under selection for an environmental phenotypic optimum.</description><dates><release>2019-01-01T00:00:00Z</release><publication>2019 May</publication><modification>2025-05-29T21:52:25.9Z</modification><creation>2025-05-29T21:52:25.9Z</creation></dates><accession>S-EPMC6501880</accession><cross_references><pubmed>30590560</pubmed><doi>10.1093/molbev/msy237</doi></cross_references></HashMap>