Browse real student projects, abstracts, and awards.
ISEF · 2018
Computational Biology and Bioinformatics
Empirical evidence demonstrates that an organism’s phenotypes are often based on multiple interdependent genes, rather than a single gene. When the expression of a phenotype is predicated on…
ISEF · 2018
Computational Biology and Bioinformatics
Detecting rare cell types would allow very early disease diagnosis (e.g., cancer, infection), identification of new cell types, and deepen our understanding of cell differentiation. We devel…
ISEF · 2018
Computational Biology and Bioinformatics Fourth Award
Kinesins are motor proteins that move unidirectionally along microtubules as they hydrolyze ATP. Although the general features of the kinesin walking mechanism are becoming increasingly clea…
ISEF · 2018
Computational Biology and Bioinformatics
Epilepsy is a very common and devastating neurological disorder that affects 65 million people globally. Electroencephalography (EEG) recording is an essential tool in evaluating seizure act…
ISEF · 2018
Computational Biology and Bioinformatics
P53 is an important tumor suppressor protein, that when mutated will lead to much higher cancer rate. This project constructed a phylogenetic tree using the mRNA sequences for p53 gene in 20…
ISEF · 2018
Computational Biology and Bioinformatics
Sensory hearing hair-cells are vulnerable to multiple damaging agents. In mammals, which lack regeneration, hair-cell loss leads to permanent hearing impairment. In contrast, non-mammalian v…
ISEF · 2018
Computational Biology and Bioinformatics
Ischemic strokes, caused by limited blood flow to the brain due to clotted arteries, account for 88% of all strokes, and are one of the leading causes of death worldwide. Although a cure has…
ISEF · 2018
Computational Biology and Bioinformatics
Parkinson’s disease (PD) is identified and associated with symptoms such as changes in gait stability, slowness of movement, essential tremor, and changes in cognitive function. Symptoms and…
ISEF · 2018
Computational Biology and Bioinformatics
The purpose of this in-silico experiment was to explore a way to model the transition of bacterial populations (persister and normal). The hypothesis theorizes that by studying the role of r…
ISEF · 2018
Computational Biology and Bioinformatics
States and the CDC monitor accidental and intentional violent deaths to answer questions that are critical for the development of effective violence prevention strategies. The National Viole…