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dc.contributor.authorBao, Kan
dc.date.accessioned2014-03-04T18:21:11Z
dc.date.available2014-03-04T18:21:11Z
dc.date.issued2009-12
dc.identifier.otherbao_kan_200912_ms
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/bao_kan_200912_ms
dc.identifier.urihttp://hdl.handle.net/10724/25999
dc.description.abstractThe availability of complete genomic sequences and microarray expression data calls for computational methods for characterizing transcriptome, the complete collection of alternative transcription units (ATU) and complete transcription units (CTU). Though numerous computational methods have been developed for prediction of operons (CTU), none of existing computational methods can deal with ATU. We present a new computational method for ATU prediction. The ATU was predicted based on variance of fold changes of expression level and intergenic distance. Then, CTU and ATU were combined to form the transcriptome of Escherichia coli. The alternative TU predictor achieves 93% prediction accuracy in estimating presence of ATU. The percentage of known ATUs correctly predicted and known single-gene CTU correctly predicted are 84.3% and 80.43% respectively. About 91.94% of transcriptome (include CTU and ATU) from multiple-genes operons are correctly predicted.
dc.languageeng
dc.publisheruga
dc.rightspublic
dc.subjectTranscriptome
dc.subjectAlternative transcription units
dc.subjectEscherichia coli.
dc.subjectComplete transcription units
dc.subjectMicroarray data
dc.subjectoperon
dc.subjectindergenic distance
dc.subjectvariance of fold changes
dc.titleDerivation of the complete transcriptome of Escherichia coli from microarray data
dc.typeThesis
dc.description.degreeMS
dc.description.departmentStatistics
dc.description.majorStatistics
dc.description.advisorYing Xu
dc.description.committeeYing Xu
dc.description.committeeLily Wang
dc.description.committeeJien Chen


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