東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Statistical analyses and Markov mode...

Zhou, Yi (Joey).

Linked to FindBook

Google Book

Amazon

博客來

Statistical analyses and Markov modeling of duplication in genome evolution.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Statistical analyses and Markov modeling of duplication in genome evolution./
Author:	Zhou, Yi (Joey).
Description:	215 p.
Notes:	Source: Dissertation Abstracts International, Volume: 66-04, Section: B, page: 1873.
Contained By:	Dissertation Abstracts International66-04B.
Subject:	Biology, Genetics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3170900
ISBN:	0542072874

Statistical analyses and Markov modeling of duplication in genome evolution.
Zhou, Yi (Joey).

Statistical analyses and Markov modeling of duplication in genome evolution. - 215 p.

Source: Dissertation Abstracts International, Volume: 66-04, Section: B, page: 1873.

Thesis (Ph.D.)--New York University, 2005.

Genome evolution, especially duplications, was studied using a computational approach. The motivation of the thesis work comes from the "evolution by gene duplication" theory proposed by Susumu Ohno in 1970's, which postulates that duplication is one of the main forces in driving genome evolution and creating genome complexity. The research described in this dissertation investigates the duplication process systematically by analyzing whole-genome data. In particular, it studies the molecular mechanisms of the segmental duplications in mammalian genomes; the influence of duplications and other evolutionary processes on the genome statistical structures; and the measurement of phylogenetic distances between genomes based on the number of duplications and other evolutionary events. During the process, we have developed computational methods and mathematical models that take into account the nature of the data and incorporate the dynamics of the evolutionary processes.

ISBN: 0542072874Subjects--Topical Terms:

1017730
Biology, Genetics.

Statistical analyses and Markov modeling of duplication in genome evolution.
LDR:03132nmm 2200289 4500 001 1816374
005 20060717095827.5
008 130610s2005 eng d
020 $a 0542072874
035 $a (UnM)AAI3170900
035 $a AAI3170900
040 $a UnM $c UnM
100 1 $a Zhou, Yi (Joey). $3 1905760
245 1 0 $a Statistical analyses and Markov modeling of duplication in genome evolution.
300 $a 215 p.
500 $a Source: Dissertation Abstracts International, Volume: 66-04, Section: B, page: 1873.
500 $a Adviser: Bhubaneswar Mishra.
502 $a Thesis (Ph.D.)--New York University, 2005.
520 $a Genome evolution, especially duplications, was studied using a computational approach. The motivation of the thesis work comes from the "evolution by gene duplication" theory proposed by Susumu Ohno in 1970's, which postulates that duplication is one of the main forces in driving genome evolution and creating genome complexity. The research described in this dissertation investigates the duplication process systematically by analyzing whole-genome data. In particular, it studies the molecular mechanisms of the segmental duplications in mammalian genomes; the influence of duplications and other evolutionary processes on the genome statistical structures; and the measurement of phylogenetic distances between genomes based on the number of duplications and other evolutionary events. During the process, we have developed computational methods and mathematical models that take into account the nature of the data and incorporate the dynamics of the evolutionary processes.
520 $a Using a Markov model of the segmental duplication process in the mammalian genomes, we found that about 12% of these recent segmental duplications were caused by recombination mediated by the recent active interspersed repeats in the mammalian genomes. In addition, the physical instabilities in the DNA sequence may also affect the process by introducing "fragile" sites in the genomes. A "rich gets richer" dynamics of the duplication process is suggested by the results of the analysis on the copy number distributions of the segmental duplications as well as other genomic components. Based on these observations, we propose a parsimonious genome evolution model, which includes three elementary processes: substitution, duplication and deletion. Using this model as our prior, we further developed a novel alignment-independent method that estimates the genomic evolutionary distance based on their word copy number variations. The phylogenomic distance measured using our method reflects the total number of substitution, duplication and deletion events since the divergence of the two genomes. Combined with conventional phylogenomic methods, we can study the modulation of the three different evolutionary processes in different lineages.
590 $a School code: 0146.
650 4 $a Biology, Genetics. $3 1017730
650 4 $a Computer Science. $3 626642
690 $a 0369
690 $a 0984
710 2 0 $a New York University. $3 515735
773 0 $t Dissertation Abstracts International $g 66-04B.
790 1 0 $a Mishra, Bhubaneswar, $e advisor
790 $a 0146
791 $a Ph.D.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3170900