PUBH 691: Bioinformatics and Personalized Medicine (download pdf)
Course Coordinator:
Lan Guo, Ph.D., Associate Professor
2816 HSS
Department of Community Medicine/MBR Cancer Center
304-293-6455 (Office phone) lguo@hsc.wvu.edu

Office Hours:
Monday and Wednesday 3 – 4 PM, or by appointment.

Class Meeting Format
In class. 8:00 am – 9:15 am, Tuesday and Thursday, fall 2010, Room G252F HSC

Course Prerequisites
There are no prerequisites.

Course Resources:
Recommended Textbook:  Bioinformatics Basics: Applications in Biological Science and Medicine. 2nd Edition. Edited by Lukas K. Buehler and Hooman H. Rashidi. Taylor & Francis Group.

All reading materials and course contents (in PowerPoint slides) will be available from the SOLE website.

Website linkages and download instructions for software and database toolsets will be covered in the course materials.

Additional course resources include websites and library.  Relevant references will be provided in the course materials. 

Course Description
This course will give an overview of the interdisciplinary approaches in molecular diagnosis and prognosis for personalized patient care.  Recent advances in the knowledge of human genomics and proteomics, as well as bioinformatics, have revolutionized the ways in which researchers are able to identify human molecular disease signatures and to predict treatment response in an individual patient.  Genome-wide association studies will guide hypothesis-driven experimentation and aid clinical decision-making.

The goal of this course is to describe methodologies in applying gene profiling for personalized therapy.  To accommodate diverse academic backgrounds of students, this course will cover topics in latest advances in molecular biology, cell biology, pharmacology, high throughput microarrays, translational and pre-clinical research, and commonly used biostatistics techniques and bioinformatics tools.  Students are expected to acquire the fundamental concepts and techniques for research design, data retrieval from public databases (i.e., GEO, NCBI, SEER, and ONCOMINE), as well as experimental analysis and interpretation.   These skills will be crucial for future multidisciplinary research combining population approaches, bioinformatics analysis, biological experimental validation, and prospective clinical trials.

PUBH 691: Bioinformatics and Personalized Medicine pdf