A tool to predict genetic effective population size (Ne) for species with generational overlap and to assist empirical Ne study design Long Description (required) 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. http://www.molecularfisherieslaboratory.com.au/neogen-v1-3-0-6-a1-software/ 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
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,
https://www.ncbi.nlm.nih.gov/pubmed/?term=30194750, Primary Citation