GSR: Simulator - NEOGEN
|Short Description||A tool to predict genetic effective population size (Ne) for species with generational overlap and to assist empirical Ne study design|
|Long Description||NeOGen (genetic Ne for Overlapping Generations analysis; pronounced Neo-gen) is point-&-click genetic effective population size (Ne) and demographic modelling software. The software, initially designed for sharks, is applicable to many overlapping-generation species with moderate to low population sizes and fecundity (such as mammals). NeOGen provides a cohesive linkage disequilibrium genetic Ne estimate (Ne.LD) analysis and population simulation framework that simulates both the demography and genetic composition of a population, given a small subset of fundamental species-specific life-history, demographic and genetic priors. NeOGen then guides the researchers in-silico to establish a tractable sampling regime, resulting in the numbers of samples and loci required to give accurate and precise Ne.LD estimates when empirical sampling is performed in the field.|
|Last Release||1 year, 7 months ago|
|Citations||Blower DC, Riginos C, Ovenden JR, neogen: A tool to predict genetic effective population size (N<sub>e</sub> ) for species with generational overlap and to assist empirical N<sub>e</sub> study design., Mol Ecol Resour, 01-01-2019 [ Abstract, cited in PMC ]|
|GSR Certification||This simulator has not yet been evaluated for GSR Certification. Learn more about or request GSR Certification.|
|Author verification||The basic description provided was derived from a website or publications by the GSR team and has not yet been verified by the simulation author. To modify this entry or add more information, propose changes to this simulator.|
|Type of Simulated Data|
|Population Size Changes|
No example publication using NEOGEN has been provided.
Please propose new citations if you are aware of publications that use this software.