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Gene family evolution: an in-depth theoretical and simulation analysis of non-linear birth-death-innovation models
Authors:Georgy?P?Karev,Yuri?I?Wolf,Faina?S?Berezovskaya,Eugene?V?Koonin  author-information"  >  author-information__contact u-icon-before"  >  mailto:koonin@ncbi.nlm.nih.gov"   title="  koonin@ncbi.nlm.nih.gov"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author
Affiliation:(1) National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, 20894 Bethesda, MD, USA;(2) Department of Mathematics, Howard University, 2400 Sixth Str., 20059 Washington D.C., USA
Abstract:

Background  

The size distribution of gene families in a broad range of genomes is well approximated by a generalized Pareto function. Evolution of ensembles of gene families can be described with Birth, Death, and Innovation Models (BDIMs). Analysis of the properties of different versions of BDIMs has the potential of revealing important features of genome evolution.
Keywords:
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