1. FTEC: a coalescent simulator for modeling faster than exponential growth
- Author
-
Michael Boehnke, Sebastian Zöllner, and Mark Reppell
- Subjects
Statistics and Probability ,Population Density ,education.field_of_study ,Models, Genetic ,Population ,Biology ,Biochemistry ,Population density ,Computer Science Applications ,Coalescent theory ,Computational Mathematics ,Applications Note ,Genetics, Population ,Computational Theory and Mathematics ,Exponential growth ,Statistics ,Humans ,Coalescent simulation ,Computer Simulation ,Programming Languages ,education ,Molecular Biology ,Simulation ,Software - Abstract
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 Contact: mreppell@umich.edu; szoellne@umich.edu Supplementary information: Supplementary data are available at Bioinformatics online
- Published
- 2012