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Evolutionary analyses of genomic data.

Hirsh, Aaron E.

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Evolutionary analyses of genomic data.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Evolutionary analyses of genomic data./
作者:	Hirsh, Aaron E.
面頁冊數:	84 p.
附註:	Source: Dissertation Abstracts International, Volume: 64-11, Section: B, page: 5332.
Contained By:	Dissertation Abstracts International64-11B.
標題:	Biology, Genetics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3111727

Evolutionary analyses of genomic data.
Hirsh, Aaron E.

Evolutionary analyses of genomic data. - 84 p.

Source: Dissertation Abstracts International, Volume: 64-11, Section: B, page: 5332.

Thesis (Ph.D.)--Stanford University, 2004.

This dissertation comprises three areas of research. First, I use sequenced genomes and functional genomic data to address basic questions about the evolutionary process. This approach reveals two factors influencing the rate of molecular evolution in yeast: protein dispensability and number of protein-protein interactions. Second, I present two novel methods for application to evolutionary analysis of genomic data. An algorithm for the identification of putative orthologs in the pairwise comparison of two genomes, rsd (reciprocal smallest distance) offers a straightforward improvement on the usual practice of taking reciprocal best blast hits. A correction on estimates of synonymous divergence provides a measure of evolutionary distance that is more likely to reflect the pace of selectively neutral processes. Third, I apply phylogenetic, population genetic, and genomic analytical tools to a dataset of genomic deletions in 100 clinical isolates of M. tuberculosis. This analysis leads to several results. In conjunction with epidemiological data, phylogenies reveal three large phylogeographic regions of M. tuberculosis. Interestingly, a host's region of origin is predictive of the strain of M. tuberculosis he carries, and this association remains strong even when transmission takes place in a cosmopolitan urban center outside of the region of origin.Subjects--Topical Terms:

1017730
Biology, Genetics.

Evolutionary analyses of genomic data.
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500 $a Source: Dissertation Abstracts International, Volume: 64-11, Section: B, page: 5332.
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502 $a Thesis (Ph.D.)--Stanford University, 2004.
520 $a This dissertation comprises three areas of research. First, I use sequenced genomes and functional genomic data to address basic questions about the evolutionary process. This approach reveals two factors influencing the rate of molecular evolution in yeast: protein dispensability and number of protein-protein interactions. Second, I present two novel methods for application to evolutionary analysis of genomic data. An algorithm for the identification of putative orthologs in the pairwise comparison of two genomes, rsd (reciprocal smallest distance) offers a straightforward improvement on the usual practice of taking reciprocal best blast hits. A correction on estimates of synonymous divergence provides a measure of evolutionary distance that is more likely to reflect the pace of selectively neutral processes. Third, I apply phylogenetic, population genetic, and genomic analytical tools to a dataset of genomic deletions in 100 clinical isolates of M. tuberculosis. This analysis leads to several results. In conjunction with epidemiological data, phylogenies reveal three large phylogeographic regions of M. tuberculosis. Interestingly, a host's region of origin is predictive of the strain of M. tuberculosis he carries, and this association remains strong even when transmission takes place in a cosmopolitan urban center outside of the region of origin.
590 $a School code: 0212.
650 4 $a Biology, Genetics. $3 1017730
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