Identification of co-regulated candidate genes by promoter analysis

Genes which are co-expressed in tissues or processes are often regulated by the same transcription factors. In this thesis, the analysis of transcription factors predicted to regulate a gene is conducted to attempt to discover co-regulated, possibly co-expressed, genes. The initial problem tackled i...

Full description

Bibliographic Details
Main Author:	Hellen, Elizabeth H. B.
Published:	University of Brighton 2010
Subjects:	572.8 C400 Genetics
Online Access:	https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.518249

id	ndltd-bl.uk-oai-ethos.bl.uk-518249
record_format	oai_dc
spelling	ndltd-bl.uk-oai-ethos.bl.uk-5182492018-10-16T03:22:51ZIdentification of co-regulated candidate genes by promoter analysisHellen, Elizabeth H. B.2010Genes which are co-expressed in tissues or processes are often regulated by the same transcription factors. In this thesis, the analysis of transcription factors predicted to regulate a gene is conducted to attempt to discover co-regulated, possibly co-expressed, genes. The initial problem tackled in the thesis is to determine an accurate method of predicting transcription factor binding sites (TFBS), and therefore regulatory transcription factors. Three TFBS prediction methods are developed; one consensus method combining pairs of prediction algorithms, one consensus method combining 6 algorithms through a Naïve Bayes classifier and a phylogenetic footprinting method combining data from multiple organisms using a Naïve Bayes classifier.572.8C400 GeneticsUniversity of Brightonhttps://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.518249https://research.brighton.ac.uk/en/studentTheses/68e2d36a-1d90-4e21-b407-2e67df1e351cElectronic Thesis or Dissertation
collection	NDLTD
sources	NDLTD
topic	572.8 C400 Genetics
spellingShingle	572.8 C400 Genetics Hellen, Elizabeth H. B. Identification of co-regulated candidate genes by promoter analysis
description	Genes which are co-expressed in tissues or processes are often regulated by the same transcription factors. In this thesis, the analysis of transcription factors predicted to regulate a gene is conducted to attempt to discover co-regulated, possibly co-expressed, genes. The initial problem tackled in the thesis is to determine an accurate method of predicting transcription factor binding sites (TFBS), and therefore regulatory transcription factors. Three TFBS prediction methods are developed; one consensus method combining pairs of prediction algorithms, one consensus method combining 6 algorithms through a Naïve Bayes classifier and a phylogenetic footprinting method combining data from multiple organisms using a Naïve Bayes classifier.
author	Hellen, Elizabeth H. B.
author_facet	Hellen, Elizabeth H. B.
author_sort	Hellen, Elizabeth H. B.
title	Identification of co-regulated candidate genes by promoter analysis
title_short	Identification of co-regulated candidate genes by promoter analysis
title_full	Identification of co-regulated candidate genes by promoter analysis
title_fullStr	Identification of co-regulated candidate genes by promoter analysis
title_full_unstemmed	Identification of co-regulated candidate genes by promoter analysis
title_sort	identification of co-regulated candidate genes by promoter analysis
publisher	University of Brighton
publishDate	2010
url	https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.518249
work_keys_str_mv	AT hellenelizabethhb identificationofcoregulatedcandidategenesbypromoteranalysis
_version_	1718774062235254784

Identification of co-regulated candidate genes by promoter analysis

Similar Items