Genome Medicine and Molecular Networks
Lecture room: GPS Google maps link, OG 1.
OBJECTIVE
This lecture series will give insight into the complex machinery of the human cell and how to exploit this knowledge for new medical applications.
PREREQUISITES
None - introductory level to advanced level
ENROLL IN THIS COURSE
Register with this
registration form
by email.
Deadline of registration: date of the
regular
start of the lecture period.
ABSTRACT
Personalized medicine and targeted therapies are two buzz words which mark the direction of the next decades of medical development. The foundations of this type of medicine are strategies which try to approach the molecular machinery in the cells directly to cure disease phenotypes or even the disease itself. To overcome the multitude of problems on that way, a precise understanding of the cellular function is essential but not sufficient. Additional research areas play a role, like cell cell interactions, cell differentiation, the functionality of the complete organ and last but not least the transport of effectors to the target cells. These and many more fields of research need to play together at the end to achieve this ambitious goal of genome medicine. This course should help to become orientated, help to find subdisciplines of interest, and to create a stable basis for further activities. The presented topics span from wet lab methods to computational biology.
RESOURCES
Will be send by email.
COURSE STAFF
Prof. Korsching.
CREDITS
Elective course certificate.
It is based on one or two lecture(s).
The presentations of articles should not (entirely) being part of the seminar to that point.
The articles + explanatory slides need to be send to the course instructor.
Certificates will be available at the end of the course, means the week thereafter in the office of the institute by
Sandra Holert.
Attendance at the lecture/ seminar: at least 90% of the double periods.
Extra curricular course
[Medicine]
- Course ID
cb-gmmn - Type
Lecture / seminar - Class Start
Second week of lecture period - Timeline
Weekly - Estimated Effort
Lecture 1 hour per week +
2 hours @home - Class Size
Min. 4 - max. 10 people - Details
Download syllabus - Open questions?
By email - Registration?
By form & email
The RESEARCH COMMUNITY
This means we try to join learning and research as far as possible.
We also encourage successful participants of the courses to consider projects in our field of research.