population genetic simulation (Not SelSim from Spencer & Coop 2004, which is currently unavailable) Long Description (required) With selsim, an evolving population of sequences is simulated according to a haploid Wright-Fisher model with discrete generations. This uses a Jukes-Cantor mutation model with a specified mutation rate. In each subsequent generation, the population is reconstituted by sampling sequences with replacement proportional to their frequency multiplied by their fitness. Mutations can be advantageous or deleterious and affect fitness in a multiplicative fashion (additive on a log-scale). Sequences are sampled at random time points after a period of burn-in. https://github.com/trvrb/selsim None Step 1: Use the attribute tree to add new attributes or remove pre-selected attributes to describe the simulator. Every sub-attribute is selected Not all sub-attributes are selected Fill Clear Expand Collapse Reset Summary of Proposed Changes Step 2: Review list of proposed attribute addition(s) and subtraction(s). Can't Find the Attribute You Are Looking For?
If you would like to propose an attribute that you cannot find in the tree above, or if you would like to add a clarification to one or more attributes for this simulator (e.g. a specific file format for attribute /Output/File Format/Other), please list them in the
Additional Comment box of the Submit tab. Summary of Proposed Changes Current Citations/Applications
Strength and tempo of selection revealed in viral gene genealogies. BMC Evol Biol,
https://www.ncbi.nlm.nih.gov/pubmed/?term=21787390, Primary Citation