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Systematic analysis of metabolism and transcription with high-throughput sequencing
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Zhang, Yuanchao. Systematic analysis of metabolism and transcription with high-throughput sequencing. Retrieved from https://doi.org/doi:10.7282/t3-d2v1-gh43

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TitleSystematic analysis of metabolism and transcription with high-throughput sequencing
NameZhang, Yuanchao (author); Bromberg, Yana (chair); Taylor, Deanne (internal member); Nickels, Bryce (internal member); Cai, Qian (outside member); Rutgers University; School of Graduate Studies
Date Created2020
Other Date2020-01 (degree)
SubjectMicrobiology and Molecular Genetics, NAD biosynthesis, Nucleotide sequence
Extent1 online resource (xiii, 231 pages) : illustrations
DescriptionHigh-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.
NotePh.D.
NoteIncludes bibliographical references
Genretheses, ETD doctoral
Persistent URLhttps://doi.org/doi:10.7282/t3-d2v1-gh43
LanguageEnglish
CollectionSchool of Graduate Studies Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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