ProQuest Subject Index - Bioinformatics at STATE UNIVERSITY OF NEW YORK AT BUFFALO

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You are viewing titles for STATE UNIVERSITY OF NEW YORK AT BUFFALO in the Bioinformatics available through the UMI Dissertations & Thesis Gradwoorks site

Identification of transcriptional promoter motifs in Drosophila melanogaster	The role of structural dynamics and flexibility of ligands: Application to MT1 receptors

Expression of D930015E06Rik during erythroid terminal differentiation	Fusion transcript simulation and application in testing fusion discovery methods

Structural elucidation of cyclooxygenase enzymes provides insight into the specific stereochemistry of the cyclooxygenase reaction mechanism along with the formation of 15R cyclooxygenase products	System-level modeling and analysis of biological reaction networks in signal transduction and glycosylation

Human sodium dependent vitamin C transporters, hSVCT1 and hSVCT2: Role of TM1 in their activity and the identification of trafficking motifs	Functional module identification and function prediction from protein interaction networks

Network mining from element level to group level	Drosophila regulatory genomics: cis-regulatory modules, promoters, and microarrays

Rapid speciation and mitogenomic evolution in lacustrine cyclic parthenogens	An information theoretic framework for identification and modeling of gene-gene and gene-environment interactions

Muscle biomarkers of type 2 diabetes disease progression in Goto-Kakizaki rats	Type 2 diabetes disease progression and gene array analysis in adipose tissue of Goto-Kakizaki rats

Structural and bioinformatic studies of the short chain oxidoreductase enzyme family	Characterization of circadian rhythms in peripheral tissues using experimental and computational modeling approaches

Methods for biomedical image content extraction toward improved multimodal retrieval of biomedical articles	Network analysis by topological properties and computational modeling (Identifying critical locations and dynamic behaviors in biological and epidemiological networks)

Endothelial Cells under High Wall Shear Stress and Spatial Gradients