Computational Biology and Bioinformatics
Substance use disorder is characterized by the chronic use of addictive substances, to the point where substance use is beyond the user’s control. Both genetic and environmental factors dete…
Computational Biology and Bioinformatics
Second Award
The emergence of high-throughput histopathological images over the past decade provides new opportunities for computational techniques to study cancerous tumors. Current analysis of tumor pr…
Computational Biology and Bioinformatics
Fourth Award
Pancreatic cancer (PC) is currently one of the deadliest cancers, with a 5-year survival rate of just 7%. Detecting PC while it is localized increases the survival rate to 30%, however to da…
Computational Biology and Bioinformatics
The purpose of the research conducted was to optimize treatments for the world’s deadliest disease, Ischemic Heart Disease, by using the most novel tools available: CRISPR and Machine Learni…
Computational Biology and Bioinformatics
Life of all organisms is largely regulated by protein-protein interactions. In particular, immune system reactions are provided by those interactions. When our immune system fails, scientist…
Computational Biology and Bioinformatics
With over 19,000 genes in the human genome, an effective method to link genes to the progression of cancer is needed. The identification of even one novel significant gene in the progression…
Computational Biology and Bioinformatics
Studying the 3D topology of the genome, in which DNA interacts to form loops, has become a promising field for building a better understanding of tumor biology. Although identifying 3D genom…
Computational Biology and Bioinformatics
Altruism is the tendency of individuals to behave in ways that benefit the whole at the expense of the individual. Due to the complexity of interactions between living organisms, it is chall…
Computational Biology and Bioinformatics
Third Award
Type 1 diabetes mellitus (T1D) affects three million individuals in the United States alone, resulting in approximately $15 billion in healthcare costs annually. T1D results from the autoimm…
Computational Biology and Bioinformatics
Metastasis causes 100% of deaths from breast cancer, the most common cancer in women worldwide. Fusion genes, a combination of two genes due to genetic structural variation, are potential dr…
Computational Biology and Bioinformatics
This research presents a computational pipeline for single nucleotide polymorphism (SNP) analysis. Due to the scientific potential of the complex and multifaceted information provided by SNP…
Computational Biology and Bioinformatics
Type 2 diabetes mellitus (T2DM) is considered one of the top comorbidities in the Middle East. WHO reported in 2010 that the average prevalence of diabetes in this region is 9.3%. Variations…
Computational Biology and Bioinformatics
More than 98% of the human genome is defined as non-coding DNA. Many of these noncoding elements are simply remnants of ancient genetic material, but studies indicate that 5% of the genome i…
Computational Biology and Bioinformatics
Twenty-percent of women in the United States are affected by breast cancer. Estrogen-receptor negative cancer treatments for postmenopausal women often worsen symptoms of osteoporosis, resul…
Computational Biology and Bioinformatics
The purpose of this experiment was to find the correlation between the complexity of leaf vein structure and the speed at which leaves dry, as determined by the rate of embolism formation. M…
Computational Biology and Bioinformatics
In the past two decades, zebrafish stripes have been immensely studied and their formation continues to lend itself to a better understanding of pigmentation patterns as a whole (Smith, 2015…
Computational Biology and Bioinformatics
The kth nearest neighbor algorithm (kNN) is a non-parametric method used for classification, in which a query point is compared to a data set of points with predetermined classes. The neares…
Computational Biology and Bioinformatics
Studying the effects of seizures in the brain is necessary to better understand and treat epilepsy. With the use of an electroencephalogram (EEG), researchers and health professionals can re…
Computational Biology and Bioinformatics
Second Award
Non-Small Cell Lung Cancer (NSCLC) is the most prominent form of Lung Cancer and kills at least 800,000 people each year. Early diagnosis of NSCLC yields higher survival rates among patients…
Computational Biology and Bioinformatics
Amyloids comprise of the amino acids that are the primary cause of Alzheimer's; an antibody that binds with high affinity to the amyloid has great potential of being an improved drug candida…
Computational Biology and Bioinformatics
It has been postulated that anxiety and personality type A are the source of a large number of diseases, both psychic and organic. The conductance of the skin, known as the galvanic response…
Computational Biology and Bioinformatics
If climate change persists, ocean warming and acidification will have catastrophic effects on coral reefs and marine biodiversity in the next 100 years. However, marine and coral biodiversit…
Computational Biology and Bioinformatics
This study had two goals: to identify frequencies within the gamma band, 30 to 100 Hz, that contribute the most electrical power during seizure periods, and to explore pre-seizure patterns a…
Computational Biology and Bioinformatics
Third Award
Intrinsically disordered proteins (IDPs) and intrinsically disordered regions (IDRs) are segments of proteins that lack a defined tertiary structure, giving them the ability to interconvert…
Computational Biology and Bioinformatics
To overcome ethical and technical concerns, humanized mouse models are often used to study the human immune system. Specifically, immunodeficient mice are engrafted with human fetal tissue a…
Computational Biology and Bioinformatics
The purpose of this study was to determine whether the California skipjack tuna fishery is sustainable or not. This particular study holds great importance in that no California fisheries ha…
Computational Biology and Bioinformatics
Third Award
Epilepsy is a chronic brain disorder affecting 1% of the population worldwide. Its primary symptoms, seizures, occur without warning and can often be dangerous. Epilepsy is diagnosed with th…
Computational Biology and Bioinformatics
"Controlling the sugar concentration in our daily drinks has become essential especially for diabetes. It’s also an important thing to farmers in order to know exactly how much sugar their f…
Computational Biology and Bioinformatics
Fourth Award
The goal of this research was to improve cancer diagnostics, specifically copy number detection methods. Accurately determining the abundance of oncogenes and tumor suppressors is necessary…
Computational Biology and Bioinformatics (inferred)
Accurately determining the abundance of oncogenes and tumor suppressors is necessary to understand the pathogenesis and treatment of cancer patients. However, low purity, tumor heterogeneity…