Undergraduate Biology Student at University of Virginia I achieved high grades in Intro Bio I and II. I tutored students in these classes while I was taking them. I have an excellent understanding and passion for cell and evolutionary biology. See David's full profile 4.9 (74) 75/hour 198...
McNamee, senior vice president and provost at Virginia Tech. “Because of its array of cross-disciplinary, intellectual talent, Virginia Tech is positioned to offer this premier, new doctoral program in Translational Biology, Medicine, and Health. This is a new approach to trai...
Additionally, they indicate that this is the main distinguishing feature between the two classes of PFFs, although the difference in stability seen in the KO neurons may also contribute. Altered fibril interactions could contribute to diminished seeding We next set out to test potential molecular ...
(1994) Nonneutral evolution at the mitochondrial NADH dehydrogenase subunit 3 gene in mice. Proc. Nat. Acad. Sci. (USA) 91, 6364–6368. Google Scholar Nason J.D. and Ellstrand N.C. (1993) Estimating the frequencies of genetically distinct classes of individuals in hybridized populations. ...
We identified ten HSF genes representing eight classes of HSFs, all of which had homologues in O. sativa. It is well accepted that at least two families of heat shock transcrip- tion factors (HSFs) exist in plants: Class A HSFs are prima- rily responsible for stress-inducible activation ...
One day a new professor named Robert Grange came into one of my classes to announce he needed students to help with his research, and I knew I needed a research credit so I walked over to his lab after class. I was only thinking about the credit I needed to graduate, but I ended ...
Therefore, we evaluated whether there are distinct classes of TEs and repeats enriched within our fine-resolution crossover data set compared with matched recombination cold regions. After applying a Bonferroni multiple test correction, our analysis revealed an association between fine-scale crossovers ...
In [22], Mohammed and Guda presented an ensemble machine-learning method called ECemble to identify enzymes and enzyme classes from metagnomics data. Using ECemble on the human gut microbiome, they identified 48 canonical human metabolic pathways that have at least one bacteria-encoded enzyme, ...
Relative sizes of the different classes of models, based on their main Gene Ontology (GO) annotations. The GO terms annotating the SBML Model element for each model generated by the project were collected, and clustered to generate groups of models covering (what are considered therefrom to be)...
Similar to the pattern observed for cell wall degrading genes, the induction of almost all genes identified in cell death category was detected at 3 and 5 d. Transcription factors (TFs) Several classes of TFs exhibited significant changes in expression. Ten TFs were co-regulated by shading and...