FTEC: A coalescent simulator for modeling faster than exponential growth. SUMMARY: Recent genetic studies as well as recorded history point to massive growth in human population sizes during the recent past. To model and understand this growth accurately we introduce FTEC, an easy-to-use coalescent simulation program capable of simulating haplotype samples drawn from a population that has undergone faster than exponential growth. Samples drawn from a population that has undergone faster than exponential growth show an excess of very rare variation and more rapid LD decay when compared with samples drawn from a population that has maintained a constant size over time. AVAILABILITY: Source code for FTEC is freely available for download from the University of Michigan Center for Statistical Genetics Wiki at http://genome.sph.umich.edu/wiki/FTEC
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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Reppell, M.; Zöllner, S.: An efficient algorithm for generating the internal branches of a Kingman coalescent (2018)
- Bhaskar, Anand; Song, Yun S.: Descartes’ rule of signs and the identifiability of population demographic models from genomic variation data (2014)
- Jewett, Ethan M.; Rosenberg, Noah A.: Theory and applications of a deterministic approximation to the coalescent model (2014)