caa a22 4500 445391774 CHVBK 20180317143049.0 cr unu---uuuuu 170323e20110401xx s 000 0 eng 10.1007/s10955-010-0113-7 doi (NATIONALLICENCE)springer-10.1007/s10955-010-0113-7 Slicing and Dicing the Genome: AStatistical Physics Approach to Population Genetics [Elektronische Daten] [Yosef Maruvka, Nadav Shnerb, Sorin Solomon, Gur Yaari, David Kessler] The inference of past demographic parameters from current genetic polymorphism is a fundamental problem in population genetics. The standard techniques utilize a reconstruction of the gene-genealogy, acumbersome process that may be applied only to small numbers of sequences. We present a method that compares the total number of haplotypes (distinct sequences) with the model prediction. By chopping the DNA sequence into pieces we condense the immense information hidden in sequence space into a function for the number of haplotypes versus subsequence size. The details of this curve are robust to statistical fluctuations and are seen to reflect the process parameters. This procedure allows for a clear visualization of the quality of the fit and, crucially, the numerical complexity grows only linearly with the number of sequences. Our procedure is tested against both simulated data as well as empirical mtDNA data from China and provides excellent fits in both cases. Springer Science+Business Media, LLC, 2011 Galton-Watson theory nationallicence Haplotype statistics nationallicence Population genetics nationallicence Maruvka Yosef Department of Physics, Bar-Ilan University, 52900, Ramat-Gan, Israel aut Shnerb Nadav Department of Physics, Bar-Ilan University, 52900, Ramat-Gan, Israel aut Solomon Sorin Racah Institute of Physics, Hebrew University of Jerusalem, 91904, Jerusalem, Israel aut Yaari Gur Department of Ecology and Evolutionary Biology, Yale University, 06520, New Haven, CT, USA aut Kessler David Department of Physics, Bar-Ilan University, 52900, Ramat-Gan, Israel aut Journal of Statistical Physics Springer US; http://www.springer-ny.com 142/6(2011-04-01), 1302-1316 0022-4715 142:6<1302 2011 142 10955 https://doi.org/10.1007/s10955-010-0113-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10955-010-0113-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Maruvka Yosef Department of Physics, Bar-Ilan University, 52900, Ramat-Gan, Israel aut NATIONALLICENCE 700 1- Shnerb Nadav Department of Physics, Bar-Ilan University, 52900, Ramat-Gan, Israel aut NATIONALLICENCE 700 1- Solomon Sorin Racah Institute of Physics, Hebrew University of Jerusalem, 91904, Jerusalem, Israel aut NATIONALLICENCE 700 1- Yaari Gur Department of Ecology and Evolutionary Biology, Yale University, 06520, New Haven, CT, USA aut NATIONALLICENCE 700 1- Kessler David Department of Physics, Bar-Ilan University, 52900, Ramat-Gan, Israel aut NATIONALLICENCE 773 0- Journal of Statistical Physics Springer US; http://www.springer-ny.com 142/6(2011-04-01), 1302-1316 0022-4715 142:6<1302 2011 142 10955 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer