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Computational analysis of mitochondr...

Glanowski, Stephen A.

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Computational analysis of mitochondrial sequence diversity in human and mouse shotgun sequence data.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Computational analysis of mitochondrial sequence diversity in human and mouse shotgun sequence data./
Author:	Glanowski, Stephen A.
Description:	157 p.
Notes:	Source: Dissertation Abstracts International, Volume: 64-10, Section: B, page: 4745.
Contained By:	Dissertation Abstracts International64-10B.
Subject:	Biology, Genetics. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3108635

Computational analysis of mitochondrial sequence diversity in human and mouse shotgun sequence data.
Glanowski, Stephen A.

Computational analysis of mitochondrial sequence diversity in human and mouse shotgun sequence data. - 157 p.

Source: Dissertation Abstracts International, Volume: 64-10, Section: B, page: 4745.

Thesis (Ph.D.)--George Mason University, 2004.

There are approximately 1014 copies of mitochondrial DNA (mtDNA) in a human individual (Stoneking 1996). This quantity of mtDNA can be treated as a population, because mtDNA has a high mutation rate (Brown et al. 1979), so it is expected that there is a diversity of mtDNA versions in an individual. In some populations, disease mutant mtDNA, may lead to illness or death (Holt et al. 1990; Johns 1995; Larsson and Clayton 1995; Wallace 1995a & b, 1999, 2001; Chinnery and Samuels 1999; Chinnery and Turnbull 2001; Thorburn and Dahl 2001; Schmiedal et al. 2003). Mitochondria sequence diversity (MSD) was studied using a unique data set generated by Celera Genomics in the process of sequencing the human and mouse genomes (Venter et al. 2001) (Mural et al. 2002). The question of whether there are significant levels of MSD within every individual is explored. The dataset contained fragments of DNA sequence matching mitochondria) DNA, which were assembled to produce deep redundant coverage of several donors. The assemblies were analyzed to unambiguously reveal variations, which show the existence of MSD below 2%. Low level point mutations and length variations that can be difficult to detect with other sequencing methods were clearly apparent within the Celera Genomics dataset, because of the unique nature of the dataset.Subjects--Topical Terms:

1017730
Biology, Genetics.

Computational analysis of mitochondrial sequence diversity in human and mouse shotgun sequence data.
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035 $a (UnM)AAI3108635
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100 1 $a Glanowski, Stephen A. $3 1952433
245 1 0 $a Computational analysis of mitochondrial sequence diversity in human and mouse shotgun sequence data.
300 $a 157 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-10, Section: B, page: 4745.
500 $a Directors: Keith McKenney; D. Curtis Jamison.
502 $a Thesis (Ph.D.)--George Mason University, 2004.
520 $a There are approximately 1014 copies of mitochondrial DNA (mtDNA) in a human individual (Stoneking 1996). This quantity of mtDNA can be treated as a population, because mtDNA has a high mutation rate (Brown et al. 1979), so it is expected that there is a diversity of mtDNA versions in an individual. In some populations, disease mutant mtDNA, may lead to illness or death (Holt et al. 1990; Johns 1995; Larsson and Clayton 1995; Wallace 1995a & b, 1999, 2001; Chinnery and Samuels 1999; Chinnery and Turnbull 2001; Thorburn and Dahl 2001; Schmiedal et al. 2003). Mitochondria sequence diversity (MSD) was studied using a unique data set generated by Celera Genomics in the process of sequencing the human and mouse genomes (Venter et al. 2001) (Mural et al. 2002). The question of whether there are significant levels of MSD within every individual is explored. The dataset contained fragments of DNA sequence matching mitochondria) DNA, which were assembled to produce deep redundant coverage of several donors. The assemblies were analyzed to unambiguously reveal variations, which show the existence of MSD below 2%. Low level point mutations and length variations that can be difficult to detect with other sequencing methods were clearly apparent within the Celera Genomics dataset, because of the unique nature of the dataset.
590 $a School code: 0883.
650 4 $a Biology, Genetics. $3 1017730
650 4 $a Computer Science. $3 626642
650 4 $a Biology, Microbiology. $3 1017734
690 $a 0369
690 $a 0984
690 $a 0410
710 2 0 $a George Mason University. $3 1019450
773 0 $t Dissertation Abstracts International $g 64-10B.
790 1 0 $a McKenney, Keith, $e advisor
790 1 0 $a Jamison, D. Curtis, $e advisor
790 $a 0883
791 $a Ph.D.
792 $a 2004
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3108635