Bioinformatics & Computational Biology Track
Bioinformatics and Computational Biology deals with the analysis, handling, and comprehension of the large amounts of data produced by advanced techniques used in modern biological research (especially genomics, proteomics, and molecular and cellular biology).
The Division of Bioinformatics & Computational Biology within DMICE provides a unified academic home for an array of disparate educational programs, inter-linked activities and collaborative research efforts across OHSU and beyond. The interdisciplinary coursework draws on inter-institutional faculty expertise at Portland State University and OHSU, and is synergistic with work in the Department of Public Health & Preventive Medicine, the Knight Cancer Institute, the Oregon Clinical and Translational Research Institute (OCTRI) and the Kaiser Center for Health Research.
Our bioinformatics track offers a rigorous, interdisciplinary submersion in statistics, algorithms, research methods, biology, and computation, with special attention paid to the areas that these competencies overlap (i.e. computational biology). Students are thus given the knowledge and skills to become successful researchers and analysts within the field of bioinformatics.
|Dr. Shannon McWeeney||Functional Genomics, Statistical Genetics, Systems Biology
|Dr. Eilis Boudreau||Computational Neuroscience, Imaging|
|Dr. Aaron Cohen||Text Mining, Information Retrieval, NLP|
|Dr. Judith Logan||Databases|
|Dr. Kemal Sönmez||Functional Genomics, Systems Biology|
Bioinformatics has become increasingly algorithmic and quantitative, in particular in the area known as computational biology. The primary goal of Master’s program in bioinformatics is to provide students with a rigorous grounding in the tools needed to successfully address current problems in the field. Students are thus given the knowledge and skills to become successful researchers and analysts within the field of bioinformatics.
The masters program consists of the following core curriculum:
• Bioinformatics and computational biology
• Biomedical sciences
• Computer science
• Electives and graduation requirements
The Master of Science curriculum consists of 60 credits, divided between 48 credits of coursework and 12 credits of thesis work.
The mission of the Biomedical Informatics PhD program is to develop independent researchers, dedicated teachers and imaginative leaders in healthcare, academia, and industry. The development of leaders who can bring novel strategies and new ideas to the interdisciplinary domain of biomedical informatics is also a high priority objective.
The PhD program consists of the following core curriculum:
• Core Knowledge of Biomedical Informatics
• Doctoral Symposium
• Mentored Teaching
• Advance Research Methods
• Cognate Area of Study
A minimum of 135 credits are required for graduation. The table below details the distribution of credits. There will be a residency requirement of 12 - 15 credits for six consecutive terms in accordance with the by-laws of the School of Medicine Graduate Council.
Distribution of Credits
|Demonstration of Biomedical Informatics Knowledge
|Minimum 43 credits of subject courses required. Students with a background in certain areas (e.g., medicine or computer science) may substitute other courses but still must complete minimum 43 credits
|Reading and Conference
|10 credits minimum
|Advanced Research Methods
|12 credits minimum; coherent set of courses beyond research methods minimum of master’s program.
|12 credits minimum; cohesive set of courses to demonstrate depth in a cognate area in biomedical informatics.
|3 credits minimum
|Mentored Teaching Prep and Mentored Teaching
|8 credits minimum (2 x 4 credits per sequence)
|Research and Dissertation
FDA vs 23 and Me: "The Food and Drug Administration (FDA) is sending you this letter because you are marketing... http://t.co/5UQDYDyWsk
The Wall Street Journal Trials series on the race to find a treatment for rare diseases http://t.co/AIeQndMPGU
Seminar: 11/21 at 12pm Wei Huang & Charles S. Springer, Advanced Imaging Research Center - "Quantitative Dynamic... http://t.co/47OoQ0oAfF
Julie Doberne DMICE PhD Student and Fellow Department of Medical Informatics & Clinical Epidemiology Oregon... http://t.co/Q88jRNjQiO
Move over Big Data. Hyperlocal data offers new promise and exciting new ways of thinking about data mining http://t.co/UV7itvbiFC
Open House this Saturday November 9th at 11:30am ! Learn about our educational programs and training... http://t.co/zkXt6Jo9ML
Steven Williamson DMICE PhD Student and Fellow Department of Medical Informatics & Clinical Epidemiology Oregon... http://t.co/a5Lew7oecy
Bret Shillingstad, MD Clinical Informatics Team Epic Systems corp http://t.co/YIPqiXRmC7
Interesting Machine Learning and Social Network analysis of human relationships http://t.co/zD9UTqZ4GR
Bill Hersh, MD Professor and Chair, Department of Medical Informatics & Clinical Epidemiology Oregon Health &... http://t.co/ttp2tjZMqD
Nancy Vuckovic, PhD Director, User Experience Health Strategy & Solutions Group Intel http://t.co/0cssZfQFA7
"The very best [infographics] engender and facilitate an insight by visual means — allow us to grasp some... http://t.co/liYyNcbpaA
Talk 10/12 at 2:30pm "Apps, Earthquakes, and Survival: some statistical stories from Google and beyond" Tim... http://t.co/y4Hlei7riQ
11th Rocky Mountain Bioinformatics Conference December 12 - 14, 2013 Snowmass/Aspen, Colorado Abstract deadline... http://t.co/BhBwDlFGtz
Patricia MacTaggart, MBA, MMA Lead Research Scientist The George Washington University http://t.co/7qMQIbplGL
Vendor Webinar: "Personal Genome Sequencing and the Future of Healthcare My experience at Understand Your Genome"... http://t.co/BuLbEk610r
Issues of qualitative and subjective metrics for post-publication review http://t.co/3rooXWn8Ew
Data Management Open House TODAY 10/9 4-6PM in MRB 310 Happy hour refreshments will be served. This session... http://t.co/XYCnxnvQGQ