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dc.contributor.advisorPatrick, Timothy B.eng
dc.contributor.authorCai, Zhengeng
dc.date.issued2005eng
dc.date.submitted2005 Springeng
dc.description"May 2005"eng
dc.descriptionThe entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file.eng
dc.descriptionIncludes bibliographical references.eng
dc.descriptionThesis (M.S.) University of Missouri-Columbia 2005.eng
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Health informatics.eng
dc.description.abstract[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Repetitive DNA sequences represent many difficulties in genome sequencing and analysis. Meanwhile, some of repetitive sequences play an important role in gene function and evolution. A new protocol was developed to identify and characterize long and highly reserved repetitive DNA sequences. This protocol adopted four existing tools: RepeatMasker, BLAST, RECON and Clustal W. The protocol has been applied to two soybean genomic sequence databases: one is a combined database of methylation filtered sequences and unfiltered sequences; the other one is a collection of soybean bacterial artificial chromosome (BAC) end sequences. There were total of 313 repetitive sequences identified. Each of those sequences was at least 100bp in length with frequency of seven or more. Further statistical analysis of the composition and distribution of obtained repeat sequences was also studied.eng
dc.identifier.merlinb57678327eng
dc.identifier.oclc79868178eng
dc.identifier.urihttps://hdl.handle.net/10355/4249
dc.identifier.urihttps://doi.org/10.32469/10355/4249eng
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartof2005 Freely available theses (MU)eng
dc.relation.ispartofcollectionUniversity of Missouri--Columbia. Graduate School. Theses and Dissertationseng
dc.rightsAccess to files is limited to the University of Missouri--Columbia.eng
dc.subject.lcshNucleotide sequenceeng
dc.subject.lcshSoybean -- Geneticseng
dc.subject.lcshGenetics -- Techniqueeng
dc.subject.meshSequence Analysis, DNA -- methodseng
dc.subject.meshDNA, Plant -- geneticseng
dc.subject.meshRepetitive Sequences, Nucleic Acideng
dc.subject.meshSoybeans -- geneticseng
dc.titleRepetitive sequence analysis for soybean genome sequenceseng
dc.typeThesiseng
thesis.degree.disciplineHealth informatics (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelMasterseng
thesis.degree.nameM.S.eng


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