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2008 Introduction to Systems Biology Course

Course Description
This intensive one-week course will introduce and develop skills and concepts necessary for comprehension and application of modern systems-biology approaches to research problems. The course will focus on a central research problem, selected in part by the course participants, implemented with computational and bench techniques, and analyzed with emphasis on global applicability to other problems. Sessions of the course will focus on the application for specific systems-biology technologies in the context of the theme problem. Each student should be able to develop, as a result of this course, a research outline that could form the core of a systems-based grant application.

Topics

  1. Experimental design, linking discovery and hypothesis-driven science
  2. High throughput protein detection, quantification, and analysis
  3. Strategies for implementation and analysis of DNA microarrays
  4. Integration of bench work and computational biology
  5. Examples of ongoing systems biology projects
  6. Philosophy of systems biology
  7. Wet-lab experience in high-throughput data acquisition techniques
Details
  1. Location: Institute for Systems Biology, Seattle, Washington
  2. Dates: Monday, August 4th, 2008 through Friday, August 8th, 2008. Attendance is required for the full five days.
  3. Tuition: $750 students and postdocs, $2000 corporate
  4. Lodging and Transportation: To be arranged by the student. Suggestions for arrangements will be made available to accepted students.
  5. Computer: A laptop computer and all necessary software will be provided for students' use during the course.
Contact Information

Course Coordinator:
Anna Bran
course@systemsbiology.org or abran@systemsbiology.org

Course Advisor:
John Aitchison
jaitchison@systemsbiology.org

Instructors
ISB faculty and staff, and invited speakers

Eligibility
Current graduate-student or postdoctoral status. Some prior knowledge of biology. People with extensive experience in computational sciences but not in biology are especially urged to apply as are those with extensive biological but little computational expertise.

Application
Prospective students may apply online. Deadline: Monday, June 16th, 2008. Successful applicants will be notified Friday, June 20th, 2008. Payments will be due on July 17th, 2008.

Register

The initial application will be followed by an email requesting submission of the following items by June 16th, 2008:

  1. Resume or CV
  2. Letter of Recommendation

David Baltimore

Register


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