Computational Analysis of Cancer Genomic Evolution and Human Endogenous Double-stranded RNA

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dc.contributor.advisorKimmel, Mareken_US
dc.creatorChen, Yujieen_US
dc.date.accessioned2024-01-22T21:20:20Zen_US
dc.date.available2024-01-22T21:20:20Zen_US
dc.date.created2023-12en_US
dc.date.issued2023-10-10en_US
dc.date.submittedDecember 2023en_US
dc.date.updated2024-01-22T21:20:20Zen_US
dc.descriptionEMBARGO NOTE: This item is embargoed until 2025-12-01en_US
dc.description.abstractThe development of next generation sequencing (NGS) technologies has allowed rapid and cost-effective sequencing of large amounts of DNA or RNA, enabling systematic analysis of biological and pathological processes. Interpretation of genomic and transcriptomic data became crucial in both research and clinical settings, particularly for investigating complex human diseases. This thesis employed various computational analysis methods in three projects that utilized different types of NGS data: (1) Constructing genomic trajectory for the progression process of multiple hematopoietic malignancies using panel sequencing and karyotype data; (2) Mathematical modeling of the mutation accumulation history in bladder cancer on a whole-organ level; and (3) Identifying endogenous immunogenetic double-stranded RNA species by classic bioinformatic analysis of RNA-seq data. The research conducted in this thesis revealed genomic evolution dynamics in cancer development providing important reference for cancer progression monitoring and intervention, and shed light on RNA therapeutic targets in autoimmune diseases.en_US
dc.embargo.lift2025-12-01en_US
dc.embargo.terms2025-12-01en_US
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationChen, Yujie. "Computational Analysis of Cancer Genomic Evolution and Human Endogenous Double-stranded RNA." (2023). Master's thesis, Rice University. https://hdl.handle.net/1911/115339en_US
dc.identifier.urihttps://hdl.handle.net/1911/115339en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectCancer Genomicsen_US
dc.subjectComputational Analysisen_US
dc.subjectRNAen_US
dc.subjectSystems Biologyen_US
dc.titleComputational Analysis of Cancer Genomic Evolution and Human Endogenous Double-stranded RNAen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentSystems, Synthetic and Physical Biologyen_US
thesis.degree.disciplineSystems/Synthetic/Phys Biologyen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Philosophyen_US
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