Genomic Analysis of the BCA Sequence 3 Gene Family in Glycine Max
Department
Biological Sciences
Major
Biological Sciences
Research Advisor
Frank, Ronald L.
Advisor's Department
Biological Sciences
Funding Source
Missouri S&T Opportunities for Undergraduate Research Experiences (OURE) Program
Abstract
Genomic analysis was performed on the Breast Carcinoma Amplified Sequence 3 gene family in Glycine max (soybeans). This study determined the extents and characteristics of the Breast Carcinoma Amplified Sequence 3 gene family and determined relationships that could potentially result in the expansion of the gene family. BCA Sequence 3 was characterized by expression profiles, gene structure, protein structure, and possible functions. This classification and organization of information was made possible by online bioinformatics tools.
Biography
Karen is a junior at Missouri University of Science and Technology where she is majoring in Biological Sciences. On campus, Karen is president of Helix and a member of Phi Sigma, and Scrubs. She also has an OURE for her research in the Plant Molecular Genetics Lab. Karen serves as a Teaching Assistant in several biology labs in the Biological Sciences department and also for Project Lead the Way. After graduation, Karen is planning attending medical school, where she will pursue a medical degree.
Research Category
Sciences
Presentation Type
Oral Presentation
Document Type
Presentation
Award
Sciences oral presentation, Second place
Location
Turner Room
Presentation Date
07 Apr 2010, 10:00 am - 10:30 am
Genomic Analysis of the BCA Sequence 3 Gene Family in Glycine Max
Turner Room
Genomic analysis was performed on the Breast Carcinoma Amplified Sequence 3 gene family in Glycine max (soybeans). This study determined the extents and characteristics of the Breast Carcinoma Amplified Sequence 3 gene family and determined relationships that could potentially result in the expansion of the gene family. BCA Sequence 3 was characterized by expression profiles, gene structure, protein structure, and possible functions. This classification and organization of information was made possible by online bioinformatics tools.
