Life Sciences Commons^™

Ingredient Classification Using Food Ontology, Ricky Flores

UNO Student Research and Creative Activity Fair

A food label provides some of the most crucial information for a food product. The food label is a key resource for many health-conscious consumers for understanding ingredients. It is also vital for individuals to avoid food allergens or help patients follow dietary recommendations. While the food labels in the United States are regulated by the Food and Drug Administration (FDA) many labels contain additional information or statements that are not regulated. Moreover, the food label may be complex or contain terminology that the layperson may not understand. Evidence has indicated that consumers often find nutrition labels confusing, especially when …

High-Throughput Sequencing Pipeline Tool Analysis - Staphylococcus Aureus, Justin Fay

UNO Student Research and Creative Activity Fair

In this project, I compared the tools used at each step of the high-throughput sequencing pipeline used to detect single-nucleotide polymorphisms (SNP’s). There are 11 sequences I utilized from my mentor, Dr. Kate Cooper, on this project (pertaining to Staphylococcus aureus) and I used those in the sequencing pipeline. I evaluated different tools by using different ones at different steps of the pipeline. By doing this, I was able to see how close or far the outputs are by only changing one factor. It is also important to note that, with each online tool comes its own sets of parameters. …

A Compartmental Network Model For The Spread Of Whooping Cough, Kimia Ameri

UNO Student Research and Creative Activity Fair

Outbreaks of pertussis have increased over the past few years, drawing the attention of health care providers. Understanding the transmission mechanisms of contagious disease is critically important, but depends on many intricate factors including pathogen and host environment, exposed population, and their activities. In this work, we try to improve upon the prediction model for the exposed population. The number of whooping cough reported cases in Nebraska between 2000-2017 was gathered. The standard SEIR model is used to predict the infected numbers. The results show that the Susceptible-Exposed-Infected-Recovered (SEIR) model prediction for the number of infected individuals is much higher …

Precision Medicine: Bioinformatics Assists In Finding Accurate Treatment For Her2+ Breast Cancer In Humans, Elizabeth Russman

UNO Student Research and Creative Activity Fair

Human epidermal growth factor receptor 2 (HER2) is a gene located on chromosome 17q12 (Ferrari et al., 2016). A HER2 mutation is known to cause breast cancer, and is responsible for approximately 20% of all breast cancers.

In this project, HER2 positive breast cancer will be examined. The goal of this project is to understand the complicated gene, HER2, and how treatment needs to be more individualized and precise using bioinformatics.

Analysis Of Clustering Algorithms, Ethan Summers

UNO Student Research and Creative Activity Fair

In Bioinformatics, choosing the right algorithm for a problem is very important. Choosing the wrong algorithm or one that is less efficient can make or break a project. Analyzing algorithms beforehand is key. The goal of this project is to analyze three clustering algorithms for protein protein interaction networks and compare their function and results. A clustering algorithm takes a dataset, in this case a simulated PPI (protein-protein interaction) network and groups together similar data points based on some similarity criteria. It is important to know the difference between these algorithms to get the desired results.

Data Analytics Pipeline For Rna Structure Analysis Via Shape, Quinn Nelson

UNO Student Research and Creative Activity Fair

Coxsackievirus B3 (CVB3) is a cardiovirulent enterovirus from the family Picornaviridae. The RNA genome houses an internal ribosome entry site (IRES) in the 5’ untranslated region (5’UTR) that enables cap-independent translation. Ample evidence suggests that the structure of the 5’UTR is a critical element for virulence. We probe RNA structure in solution using base-specific modifying agents such as dimethyl sulfate as well as backbone targeting agents such as N-methylisatoic anhydride used in Selective 2’-Hydroxyl Acylation Analyzed by Primer Extension (SHAPE). We have developed a pipeline that merges and evaluates base-specific and SHAPE data together with statistical analyses that provides confidence …

Identification Of Genes Involved In Diauxic Shift Of Saccharomyces Cerevisiae Through Gateway Node Analysis., Emily Pachunka

UNO Student Research and Creative Activity Fair

The use of high-throughput assays, or experiments yielding large data sets, in biological research has become a standard practice in laboratories throughout the world. Because such investigations have the ability to produce high volume and comprehensive data sets, it is then important to develop methods that allow researchers to quickly pull meaningful information from an overwhelming amount of data. Network modeling has become a popular technique for visualizing and analyzing large biological data sets. A network is a basic graph with nodes and edges (i.e. social networks) that also integrates complex principles of graph theory for deeper analysis and pattern …

Correlation Networks: Causative Relationships From Gene Expression Data, Grogan W. Huff

UNO Student Research and Creative Activity Fair

Genes that share expression conditions show a biological correlation, and no modern method of visualization displays these intricate co-expression patterns better than a graph. Structural observations about a co-expression graph can reveal the secrets of the biological system that it models, but experimentally validated co-expression graphs are pain-staking work to produce. Present day correlation network analysis shows potential for drawing conclusions from large volumes of biological systems data in an inexpensive and easy-to-produce way, however, work remains to confirm the appropriateness and scope of such methods for specific, scientific application. Toward this effort, we generated a Pearson correlation network from …