RUcore: Rutgers University Community Repository
Systematic analysis of metabolism and transcription with high-throughput sequencing
Descriptive
TitleInfo
Title
Systematic analysis of metabolism and transcription with high-throughput sequencing
Name
(type = personal)
NamePart
(type = family)
Zhang
NamePart
(type = given)
Yuanchao
DisplayForm
Yuanchao Zhang
Role
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(authority = RULIB)
author
Name
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Bromberg
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Yana
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Yana Bromberg
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Advisory Committee
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chair
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Taylor
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Deanne
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Deanne Taylor
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Advisory Committee
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internal member
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(type = family)
Nickels
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(type = given)
Bryce
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Bryce Nickels
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Advisory Committee
Role
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internal member
Name
(type = personal)
NamePart
(type = family)
Cai
NamePart
(type = given)
Qian
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Qian Cai
Affiliation
Advisory Committee
Role
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(authority = RULIB)
outside member
Name
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NamePart
Rutgers University
Role
RoleTerm
(authority = RULIB)
degree grantor
Name
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NamePart
School of Graduate Studies
Role
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school
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Text
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theses
OriginInfo
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2020
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2020-01
Language
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English
Abstract
(type = abstract)
High-throughput sequencing (HTS) technology enables cost-effective and efficient measurement of the nucleobase sequences of millions of DNA molecules. In order to apply HTS in systematic investigation of metabolic variations and transcription initiation, I developed data analysis pipelines, mathematical methods, and software packages. Using these tools, we have identified sequence determinants in transcription initiation and pausing, which provide mechanistic insights into the interactions between RNA polymerase and DNA template. Also, we have modeled the metabolic variations across different tissues using single-cell RNA-seq data, which provides a novel computational method to infer metabolic variations from the differences in gene expression profiles.
Subject
(authority = RUETD)
Topic
Microbiology and Molecular Genetics
Subject
(authority = local)
Topic
NAD biosynthesis
Subject
(authority = LCSH)
Topic
Nucleotide sequence
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Title
Rutgers University Electronic Theses and Dissertations
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ETD
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ETD_10525
PhysicalDescription
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application/pdf
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text/xml
Extent
1 online resource (xiii, 231 pages) : illustrations
Note
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Ph.D.
Note
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Includes bibliographical references
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Title
School of Graduate Studies Electronic Theses and Dissertations
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rucore10001600001
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NjNbRU
Identifier
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doi:10.7282/t3-d2v1-gh43
Genre
(authority = ExL-Esploro)
ETD doctoral
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Rights
RightsDeclaration
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The author owns the copyright to this work.
RightsHolder
(type = personal)
Name
FamilyName
Zhang
GivenName
Yuanchao
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime
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2020-01-10 12:34:01
AssociatedEntity
Name
Yuanchao Zhang
Role
Copyright holder
Affiliation
Rutgers University. School of Graduate Studies
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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Embargo
DateTime
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2020-01-31
DateTime
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2022-01-30
Detail
Access to this PDF has been restricted at the author's request. It will be publicly available after January 30th, 2022.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical
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ETD
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windows xp
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1.4
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2020-01-04T07:49:14
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2020-01-04T07:49:14
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Statistical Profile