Graduation Year
2014
Document Type
Thesis
Degree
M.S.Cp
Degree Name
MS in Computer Engineering (M.S.C.P.)
Department
Computer Engineering
Degree Granting Department
Computer Science & Engineering
Major Professor
Yicheng Tu, Ph.D.
Co-Major Professor
Hong Huang, Ph.D.
Committee Member
Feng Cheng, Ph.D.
Keywords
CNV, Frequency, Human Genome, Nucleotide Polymorphisms
Abstract
MicroRNAs (miRNAs) are studied as key genetic elements that regulate the gene expression involved in different human diseases. Clinical sequence based variations like copy number variations (CNVs) affect miRNA biogenesis, dosage and target recognition that may represent potentially functional variants and relevant target bindings.
To systematically analyze miRNA-related CNVs and their effects on related genes, a user-friendly free online database was developed to provide further analysis of co-localization of miRNA loci with human genome CNV regions. Further analysis pipelines such as miRNA-target to estimate the levels or locations of variations for genetic duplications, insertions or deletions were also offered. Such information could support the simulation of miRNA-target interactions.
Scholar Commons Citation
Bou Zeidan, Nadim Georges, "Human miRNA Sequence Based Variations Database" (2014). USF Tampa Graduate Theses and Dissertations.
https://digitalcommons.usf.edu/etd/5350
