Genome Medicine and Molecular Networks
Lecture room: GPS Google maps link, OG 1 /and/or/ Zoom.
This lecture series will give insight into the complex machinery of the human cell and how to exploit this knowledge for new medical applications.
None - introductory level to advanced level
ENROLL IN THIS COURSE
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.
Handouts and literature lists are available on a server.
Elective course certificate.
For this type you need to present a short talk on a topic defined in the last lesson of the lecture/ seminar with a well-above-average grade. Certificates will be available the week thereafter in the office of the institute by Sandra Holert. Attendance at the lecture/ seminar: at least 90% of the double periods.
Certificate of attendance.
For documentation purpose it is possible to get a certificate of attendance (present in at least 90% of the double periods).
Of course everyone can attend the course without the objective to get a credit.
Extra curricular course
- Course ID
Lecture / seminar
- Class Start
Second week of lecture period
- Estimated Effort
Lecture 1 hour per week /
1 hour @home
- Class Size
Min. 4 - max. 10 people
- Open questions?
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.