CLRES 2708 - BIOINFORMATICS RESOURCES- DATA ANALYSIS

Minimum Credits: 1
Maximum Credits: 1
Over the past decade, the emergence and rapid advances in molecular technologies such as genome sequencing, microarray platforms and high-through put methodologies have generated a copious amount of scientific data. In response to this data overload, bioinformatics software and databases utilizing computer science and statistical methods have rapidly been evolving. Proficiency in the use of bioinformatics tools is the key for success in today's molecular life sciences research as they guide students in formulating new hypotheses, designing studies to test these hypotheses, then analyzing, interpreting and validating experimental results. Using hands-on training in a computer classroom, this one-credit hour course will introduce students to bioinformatics software tools covering a variety of topics, including nucleotide and protein sequence manipulation, protein structure, microarray and biological pathway analysis. Homework will be assigned to reinforce the concepts presented during each class. Students may use their own gene of interest, or an instructor-assigned gene if needed, to write a research report highlighting a testable hypothesis developed by using bioinformatics tools covered in the class. Upon successful completion of this course, students will have received adequate training to identify appropriate bioinformatics databases/software and efficiently apply these tools in solving real life research questions.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis
Course Requirements: PLAN: Medical Education (MS or ACM) or Clinical Research (MS or ACM) or Clinical and Translational Sci (PHD)

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