Bioinformatics Commons^™

Mrna-Sequencing Pipeline For Differential Gene Expression Analysis, Crystal Han

Master's Projects

Endothelial cells (ECs) line the insides of blood vessels and play a key role in the coagulation and vascular repair system. Under normal circumstances, ECs are constantly expressing anticoagulants to prevent clots and maintain healthy blood flow. But when there is an injury to the vessel, endothelial cells become centrally involved in orchestrating the complex series of events that would lead to the clotting of the wound. Thus, ECs are dynamic and respond accordingly based on changes in their local environment. Unfortunately, endothelial cells can sometimes misinterpret cues from the environment and initiate coagulation when there is no vessel damage …

Effective Cancer Detection Using Higher-Order Genome Architecture And Chromatin Interactions, My Chung

Master's Projects

Cancer is a complex disease which requires interactions between cell-intrinsic alterations and tumor microenvironment. The connection between epigenetics and genomic structure plays a key role in chromatin interaction which promotes enhancer-promoter interactions for transcriptional activities. Alterations of chromatin states in oncogenic signaling pathway potentially cause cancer cell-intrinsic changes and inappropriate instructions to normal cell cycles, leading to abnormal cell growth. Resulting phenotypic changes are correlated to underlying changes in higher-order chromatin structure such as topologically associating domains (TADs) and compartments. In cancer cells, TAD structure is usually altered to facilitate the communication between enhancers and promoters in addition to higher …

On The Challenges And Rewards Of Analyzing Molecular Dynamics At The Terabyte And Millisecond Scale, Justin Roy Porter

Arts & Sciences Electronic Theses and Dissertations

Molecular Dynamics (MD) and Markov state models (MSMs) are powerful tools for estimating and concisely representing the conformational ensemble accessible to biological macromolecules, particularly proteins. Conformational ensembles are of special importance biological function, both in health and disease, because biology derives from molecules’ entire conformational distribution rather than any single structure. Consequently, MD is poised to become a powerful tool for personalized medicine and for the study of molecular sequence-function relationships generally. However, because of their hyperdimensionality and size, just generating MD datasets and Markov state models (MSMs) that represent biologically relevant molecules is a substantive technical challenge. Then, even …

Surveillance And Dynamics Of Bacteria And Resistance Genes In Humans And Hospitals, Alaric Wences D'Souza

Arts & Sciences Electronic Theses and Dissertations

Bacteria live in, on, and around us. These bacteria affect human health through beneficial commensal interactions that promote normal development and through harmful infections or perturbations leading to disease. Understanding the prevalence, spread, and resilience of these bacteria in humans and human environments is critical to clinical medicine and epidemiology. I investigated environmental and human resident bacteria to understand dynamics in bacterial communities and how these dynamics may impact human health.Hospitals are one critical location of human-bacterial interactions. Bacteria can contaminate hospital surfaces from patients or environmental sources and subsequently transmit from surfaces to vulnerable patients. I analyzed bacteria from …

Identification Of Candidate Microbial Biomarkers Of Disease And Design Of Engineered Microbial Therapeutics For The Gut Microbiome, Aura Lucia Ferreiro

McKelvey School of Engineering Theses & Dissertations

The human gut microbiome is a compositionally and functionally diverse community of microorganisms that profoundly influences the health of the host. Deep characterization of gut microbiomes via high-throughput sequencing has identified associations between the gut microbiome and disease states, and spurred development of engineered microbial therapeutics. Successful translation of these research efforts to the clinic will involve i) consideration of how engineered microbes behave and adapt in the gut, towards the implementation of biosafety mechanisms, and ii) identification and validation of microbial biomarkers of disease. This dissertation describes both investigative (Chapter 2) and engineering (Chapters 3 and 4) approaches to …

Response Of Soil Viral And Microbial Functional Diversity To Long-Term Agricultural Management In Jackson, West Tennessee, Ning Duan

Doctoral Dissertations

Soil microbial communities are a critical component for ecosystem stability and function. Viruses, as an important biotic controller, have the potential to regulate the abundance and diversity of bacterial communities through infection. Soil is known to harbor abundant and diverse viral assemblages but their ecological role and influence on microbial processes has not been fully elucidated. Microbes can be influenced by viruses not only from infection but though biogeochemical feedbacks of the “microbial (bacterium–phage–DOC) loop” or “viral shunt”. However, we know relatively little about the microbial community and function under the regulation of viruses in soil and how they respond …

Analytical Considerations And Methods For Comprehensive Analysis Of Bacterial Phospholipidomics Using Hilic-Ms/Ms, David Thomas Reeves

Doctoral Dissertations

Omics technologies have rapidly evolved over the last half century through vast improvements in efficient extraction methodologies, advances in instrumentation for data collection, and a wide assortment of informatics tools to help deconvolute sample data sets. However, there are still untapped pools of molecules that warrant further analytical attention. As the frontline defense of the cell against exterior influences, the phospholipid membrane is key in structure, defense, and signaling, but current omics studies are only just now catching up to the potential hidden within cellular lipid profiles. Examination of shifts in phospholipid speciation and character could provide researchers with a …

Microbial Community Dynamics Of A Microcystis Bloom, Helena Pound

Doctoral Dissertations

Harmful algal bloom events are notoriously associated with massive economic and environmental consequences, causing wildlife and human health risks. As these blooms increase in occurrence, duration, and severity around the world, it is essential to understand conditions leading to bloom formation and why they persist. Abiotic factors such as nutrients are commonly considered in bloom dynamics, but biotic interactions with co-occurring microbial species and viruses must also be taken into account. Harmful algal blooms dominated by the cyanobacterial genus Microcystis occur in bodies of water around the world and provide an ideal system in which to study top-down controls on …

V-Myb Avian Myel Oblast Viral Oncogene Homolog Like 1 (Mybl1) Knockdown And Its Role In A Triple Negative Breast Cancer, Nabras Mahmoud Abdulrahman

Theses (2016-Present)

Triple Negative Breast Cancer (TNBC) is defined as negative for three genes, estrogen receptor (ESR), progesterone receptor (PR) and Human epidermal growth factor receptor (HER2-neu) genes. Previous data show the V-Myb Avian Myel oblast Viral Oncogene Homolog Like 1 (MYBL1) gene is over-expressed in Triple negative breast cancer cell line (MDA-MB231). MYBL1 belongs to the MYB family of genes which are transcription factors and proto-oncogenes which are associated with cell cycle regulation, apoptosis, and differentiation, all of which are key events associated with cancers. It could be that MYBL1 contributes to these same processes in TNBC. Instead of studying MYBL1’s …

Toxicity Of Indoor Dust-Derived Trace Elements And Organic Contaminants Impact On Normal Human Colon Epithelial Cells, Noura Abdulrahman

Theses (2016-Present)

Indoor dust stands out as a burgeoning challenge in society due to its implication on people’s health. Exposure to toxic dust particles occurs in different ways that include inhalation, ingestion, and dermal contact. In the hindsight, many people spend most of their time indoors exposing themselves to high levels of dust. Notably, different groups of individuals present varied risk levels to the toxicity of particles with vulnerable persons being susceptible to adverse effects of these contaminants. This includes the elderly, children, and immunocompromised individuals. The study examines the impacts of two variables that are trace elements (TMD) and organic contaminants …

Intelligent Resource Prediction For Hpc And Scientific Workflows, Benjamin Shealy

All Dissertations

Scientific workflows and high-performance computing (HPC) platforms are critically important to modern scientific research. In order to perform scientific experiments at scale, domain scientists must have knowledge and expertise in software and hardware systems that are highly complex and rapidly evolving. While computational expertise will be essential for domain scientists going forward, any tools or practices that reduce this burden for domain scientists will greatly increase the rate of scientific discoveries. One challenge that exists for domain scientists today is knowing the resource usage patterns of an application for the purpose of resource provisioning. A tool that accurately estimates these …

Machine Learning Analysis Of Single Nucleotide Polymorphism (Snp) Data To Predict Bone Mineral Density In African American Women, Erick Githua Wakayu

UNLV Theses, Dissertations, Professional Papers, and Capstones

Osteoporosis is a debilitating disease in which an individual’s bones weaken, making bones fragile and more susceptible to fracture. While commonly found amongst postmenopausal Caucasian and Asian women based on previous studies, those of African descent (African American/Black) have largely been ignored when it comes to osteoporotic studies, especially when it comes to Genome Wide Association Studies (GWAS). From GWA studies, we gain access to single nucleotide poly-morphisms (SNPs) that may contribute to certain illnesses, such as osteoporosis. With low Bone Mineral Density (BMD) being one of the primary markers of potential osteoporosis, it is prudent that proper research is …

Computational And Biochemical Characterizations Of Anhydrobiosis-Related Intrinsically Disordered Proteins., Brett R. Janis

Electronic Theses and Dissertations

Anhydrobiosis is the remarkable phenomenon of “life without water”. It is a common technique found in plant seeds, and a rare technique utilized by some animals to temporarily stop the clock of life and enter a stasis for up to several millennia by removing all of their cellular water. If this phenomenon can be replicated, then biological and medical materials could be stored at ambient temperatures for centuries, which would address research challenges as well as enhance the availability of medicine in areas of the world where refrigeration, freezing, and cold-chain infrastructure are not developed or infeasible. Furthermore, modifying crop …

A Method For Identifying Ancient Introgression Between Caballine And Non-Caballine Equids Using Whole Genome High Throughput Data., Kalpani De Silva

Electronic Theses and Dissertations

Introgression is one of the main mechanisms that transfer adapted alleles between species. The advantageous variants will get positively selected and retained in the recipient population while rest of the variants undergo negative selection. When analyzing horse genome, two alleles were found in CXCL16 gene, one associated with susceptibility and one with resistance to developing persistent shedding of the Equine Arteritis Virus. The two alleles differ by 4 non-synonymous variants in exon 1 of the gene. Comparison with 3 non-caballine equids (zebras, asses and hemiones) revealed that one haplotype was almost identical to the haplotype found in non-caballines while the …

Classifying Electrocardiogram With Machine Learning Techniques, Hillal Jarrar

Master's Theses

Classifying the electrocardiogram is of clinical importance because classification can be used to diagnose patients with cardiac arrhythmias. Many industries utilize machine learning techniques that consist of feature extraction methods followed by Naive- Bayesian classification in order to detect faults within machinery. Machine learning techniques that analyze vibrational machine data in a mechanical application may be used to analyze electrical data in a physiological application. Three of the most common feature extraction methods used to prepare machine vibration data for Naive-Bayesian classification are the Fourier transform, the Hilbert transform, and the Wavelet Packet transform. Each machine learning technique consists of …

Effects Of Habitat Disturbances On Reptiles In Sagebrush Steppe, Kristina Joan Parker

Boise State University Theses and Dissertations

Reptiles inhabiting shrub-steppe ecosystems of the Intermountain West have adapted to harsh, unpredictable desert conditions, yet recent changes in disturbance regimes may put species at risk. In southwest Idaho, cheatgrass (Bromus tectorum) has altered the fire regime resulting in a vast conversion of shrub-steppe to mostly annual grasslands that burn too frequently to allow shrublands to recover. Southwest Idaho has the highest reptile diversity in the Pacific Northwest, yet we know little about reptile community dynamics in response to the cheatgrass-fire cycle. We hypothesized that wildfires and cheatgrass negatively affect reptile communities directly (i.e., mortality during fires) and …

Using Artificial Intelligence To Decipher Epigenetic Code Of Drug Resistance In The Deadliest Human Malaria Parasite, Samira Jahangiri

USF Tampa Graduate Theses and Dissertations

Malaria remains one of the immense global public health challenges, with an estimated ~200 million cases worldwide in 2019 despite the remarkable gains in reducing this deadly disease over the past decade. The recent emergence and spread of artemisinin resistance (ART-R) in Plasmodium falciparum will increasingly impede global efforts to control and eliminate malaria. Previous studies have observed broad transcriptional changes and identified several noncoding genetic variants strongly associated with ART-R. The broad transcriptional variations suggest that the malaria parasite uses sophisticated epigenetic regulation to survive under drug pressure. Therefore, evaluating the regulatory effects of noncoding-variants in malaria parasites is …

Comparison Of Multiple Imputation Algorithms And Verification Using Whole-Genome Sequencing In The Cmuh Genetic Biobank, Ting-Yuan Liu, Chih-Fan Lin, Hsing-Tsung Wu, Ya-Lun Wu, Yu-Chia Chen, Chi-Chou Liao, Yu-Pao Chou, Dysan Chao, Hsing-Fang Lu, Ya-Sian Chang, Jan-Gowth Chang, Kai-Cheng Hsu, Fuu‑Jen Tsai

BioMedicine

A genome-wide association study (GWAS) can be conducted to systematically analyze the contributions of genetic factors to a wide variety of complex diseases. Nevertheless, existing GWASs have provided highly ethnic specific data. Accordingly, to provide data specific to Taiwan, we established a large-scale genetic database in a single medical institution at the China Medical University Hospital. With current technological limitations, microarray analysis can detect only a limited number of single-nucleotide polymorphisms (SNPs) with a minor allele frequency of >1%. Nevertheless, imputation represents a useful alternative means of expanding data. In this study, we compared four imputation algorithms in terms of …

Characterizing Long Covid: Deep Phenotype Of A Complex Condition, Rachel R. Deer, Madeline A. Rock, Nicole Vasilevsky, Leigh Carmody, Halie Rando, Alfred J. Anzalone, Marc D. Basson, Tellen D. Bennett, Timothy Bergquist, Eilis A. Boudreau, Carolyn T. Bramante, James Brian Byrd, Tiffany J. Callahan, Lauren E. Chan, Haitao Chu, Christopher G. Chute, Ben D. Coleman, Hannah E. Davis, Joel Gagnier, Casey S. Greene, Ramakanth Kavuluru

Institute for Biomedical Informatics Faculty Publications

BACKGROUND: Numerous publications describe the clinical manifestations of post-acute sequelae of SARS-CoV-2 (PASC or "long COVID"), but they are difficult to integrate because of heterogeneous methods and the lack of a standard for denoting the many phenotypic manifestations. Patient-led studies are of particular importance for understanding the natural history of COVID-19, but integration is hampered because they often use different terms to describe the same symptom or condition. This significant disparity in patient versus clinical characterization motivated the proposed ontological approach to specifying manifestations, which will improve capture and integration of future long COVID studies.

METHODS: The Human Phenotype Ontology …

Snake Venom Peptides And Toxin Targeting The Main Protease Of Sars-Cov-2, Breauna Strawder, James Stewart, Mohammad A. Halim

Symposium of Student Scholars

The corona virus began to spread in Wuhan, China which caused it to spread worldwide creating a global pandemic in the beginning of 2020, infecting over 243 million and killing over 4.5 million people worldwide. Significant efforts were made to produce vaccines against the virus, which led the recognition of a few vaccines that has been approved by FDA. These vaccines, Pfizer-BioNTech, Moderna and Johnson & Johnson, which all have efficacy against Covid-19. Despite having vaccines, COVID-19 is still present and infecting millions and killing thousands of people every day. Multiple therapeutic options would allow us to slow down or …