Paper Info
Title
A Case Study of Genome Evolution: From Continuous to Discrete Time Model
Abstract
We introduce and analyse a simple model of genome evolution. It is based on two fundamental evolutionary events: gene loss and gene duplication. We are mainly interested in asymptotic distributions of gene families in a genome. This is motovated by previous work which consisted in fitting the available genomic data into, what is called paralog distributions. Two approaches are presented in this paper: continuous and discrete time models. A comparison of them is presented too - the asymptotic distribution for the continuous time model can be seen as a limit of the discrete time distributions, when probabilities of gene loss and gene duplication tend to zero. We view this paper as an intermediate step towards mathematically settling the problem of characterizing the shape of paralog distribution in bacterial genomes.
Year
DOI
Venue
2004
10.1007/978-3-540-28629-5_1
LECTURE NOTES IN COMPUTER SCIENCE
Keywords
Field
DocType
gene family,genome evolution,discrete time,asymptotic distribution,bacterial genome,gene duplication
Genome,Statistical physics,Discrete mathematics,Computer science,Probability distribution,Genome evolution,Geometric distribution,Discrete time and continuous time,Gene duplication,Bacterial genome size,Calculus,Asymptotic distribution
Conference
Volume
ISSN
Citations 
3153
0302-9743
3
PageRank 
References 
Authors
0.58
2
3
Name
Order
Citations
PageRank
Jerzy Tiuryn11210126.00
Ryszard Rudnicki231.60
Damian Wójtowicz3104.40