Search
Skip to Search Results- 18Graduate and Postdoctoral Studies (GPS), Faculty of
- 18Graduate and Postdoctoral Studies (GPS), Faculty of/Theses and Dissertations
- 16Biological Sciences, Department of
- 16Biological Sciences, Department of/Journal Articles (Biological Sciences)
- 9Agricultural, Food and Nutritional Science, Department of
- 9Agricultural, Food and Nutritional Science, Department of/Journal Articles (Agricultural, Food and Nutritional Science)
-
2007
Bilingualism is often considered an inappropriate developmental choice for children with specific language impairment (SLI) because, according to a widespread belief, these children’s limited capacity for language would be overtaxed by learning two linguistic systems. However, there has not been...
-
Bubble Pressure Measurement and Modeling for n-Alkane + Aromatic Hydrocarbon Binary Mixtures
DownloadFall 2017
Commonly-used cubic equations of state (EOS) over predict the bubble point pressures (BPPs) for binary long-chain n-alkane + aromatic mixtures and frequently predict the incorrect phase diagram type. In this work, BPPs for 15 representative n-alkane + aromatic hydrocarbon binary mixtures were...
-
2009
Grant, Jason, Stothard, Paul, Moore, Stephen S., Guan, Leluo, Jin, Weiwu
Background MicroRNAs (miRNAs) are a family of ~22 nucleotide small RNA molecules which regulate gene expression by fully or partially binding to their complementary sequences in mRNAs or promoters. A large number of miRNAs and their expression patterns have been reported in human, mouse and rat....
-
Classifying Crystal Structures of Binary Compounds AB through Cluster Resolution Feature Selection and Support Vector Machine Analysis
Download2016
Adutwum, Lawrence A. , Harynuk, James, Mar, Arthur, Oliynyk, Anton O.
Partial least-squares discriminant analysis (PLS-DA) and support vector machine (SVM) techniques were applied to develop a crystal structure predictor for binary AB compounds. Models were trained and validated on the basis of the classification of 706 AB compounds adopting the seven most common...
-
Fall 2015
There is a concern that brain tumours are underreported in the Alberta Cancer Registry (ACR), yet no studies have been performed to investigate this issue. This study addresses the concern of underreporting of brain tumours in the ACR by assessing case ascertainment of primary brain tumours cases...
-
2012
Stothard, Paul, Arantes, Adriano S., Grant, Jason R.
Background Continued sequencing efforts coupled with advances in sequencing technology will lead to the completion of a vast number of small genomes. Whole-genome comparisons represent an important part of the analysis of any new genome sequence, as they can provide a better understanding of the...
-
Spring 2012
Accurately identifying strand residues (beta-residues) from protein sequences aids prediction and analysis of numerous structural and functional aspects of proteins. This thesis is focused on improving sequence-based prediction of strand residues and strands, which in turn would lead to better...
-
Computational support systems for prediction and characterization of protein crystallization outcomes
DownloadFall 2013
Analysis of protein structures may reveal their function, regulation and interactions. Almost 90% of the known protein structures were solved using X-ray crystallography; however, many more structures remain unsolved. Protein Structure Initiative (PSI) project was created to speed up structure...
-
CS23D: A web server for rapid protein structure generation using NMR chemical shifts and sequence data
Download2008
Wishart, D.S., Berjanskii, M., Arndt, D., Lin, G., Tang, P., Zhou, J.
CS23D (chemical shift to 3D structure) is a web server for rapidly generating accurate 3D protein structures using only assigned nuclear magnetic resonance (NMR) chemical shifts and sequence data as input. Unlike conventional NMR methods, CS23D requires no NOE and/or J-coupling data to perform...