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Computational analysis of human geno...

Boston University.

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Computational analysis of human genomic sequence variation and Drosophila small RNA transcriptome.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Computational analysis of human genomic sequence variation and Drosophila small RNA transcriptome./
作者:	Lee, Soohyun.
面頁冊數:	137 p.
附註:	Adviser: Zhiping Weng.
Contained By:	Dissertation Abstracts International70-01B.
標題:	Biology, Bioinformatics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=3345661
ISBN:	9781109004397

Computational analysis of human genomic sequence variation and Drosophila small RNA transcriptome.
Lee, Soohyun.

Computational analysis of human genomic sequence variation and Drosophila small RNA transcriptome. - 137 p.

Adviser: Zhiping Weng.

Thesis (Ph.D.)--Boston University, 2009.

Bioinformatics is a computational approach to solve biological problems. I applied computational methods to several different problems.

ISBN: 9781109004397Subjects--Topical Terms:

1018415
Biology, Bioinformatics.

Computational analysis of human genomic sequence variation and Drosophila small RNA transcriptome.
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300 $a 137 p.
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500 $a Source: Dissertation Abstracts International, Volume: 70-01, Section: B, page: 0028.
502 $a Thesis (Ph.D.)--Boston University, 2009.
520 $a Bioinformatics is a computational approach to solve biological problems. I applied computational methods to several different problems.
520 $a (1) The genome sequences of human and other mammalian species allow us to study human evolution at the genomic sequence level. I studied evolutionary conservation of promoters using human, mouse and dog genomic sequences, and found a significant connection between promoter evolution and function of the genes. Developmental genes and transcription factors tend to have higher conservation upstream of the gene body, whereas housekeeping genes have lower promoter conservation. This result suggests that the genes that require complex regulation have a higher degree of conservation due to an increased number of cis-elements in the promoter.
520 $a (2) The variations of the genomic sequence among the human population provide us with useful information about individual differences. For instance, this information can be used for finding disease-associated variants. When different types of variations are mixed, the observed experimental outcomes may deviate from expected. I investigated the deviation of Hardy-Weinberg equilibrium (HWE) of single nucleotide polymorphisms (SNPs) that lie in a copy number variation (CNV), using Bayesian statistics. I address the question 'what is the probability of a SNP being in a CNV, given that it violates HWE. My results suggest that depending on the allele frequency, an underlying CNV can be a major factor causing deviation from HWE, when the sample size is large and genotyping error is below 1%.
520 $a (3) Recently emerged next-generation sequencing technology gives us the opportunity to study entire transcriptomes under various conditions. I analyzed millions of sequence reads of small RNAs from fruitfly ovaries, to elucidate the biogenesis mechanisms of Piwi-interacting RNAs (piRNAs) in this organism. PiRNAs are 23-29nt RNAs that suppress retrotransposon activities in the germ cells. Three different proteins, Piwi, Aubergeine (Aub) and Argonaute3 (Ago3), are suggested to generate piRNAs in fruit flies, but the mechanism is poorly understood. By analyzing total small RNAs and RNAs immunoprecipitated with the three proteins in wildtype and ago3 mutants, I obtained new insights about how these proteins may participate in the biogenesis of piRNAs.
590 $a School code: 0017.
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791 $a Ph.D.
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