Katja Bärenfaller: Catalogue data in Spring Semester 2015 |
| Name | PD Dr. Katja Bärenfaller |
| Field | Functional genomics |
| Address | SIAF | Allergy & Asthma Research Obere Strasse 22 7270 Davos Platz SWITZERLAND |
| Department | Biology |
| Relationship | Privatdozentin |
| Number | Title | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|
| 551-0350-00L | Plant Proteome Exploration   Number of participants limited to 4. | 6 credits | 7G | K. Bärenfaller | |
| Abstract | This course covers basic techniques of proteome analyses emphasizing plant-specific aspects. These include protein extraction with different methods, gel electrophoresis, mass spectrometry and data analysis. The hands-on part will be accompanied with a theoretical introduction into the basics of mass spectrometry and its application. | ||||
| Learning objective | Practical and theoretical insight into proteome analyses with emphasis on plant-specific aspects. | ||||
| 551-0364-00L | Functional Genomics | 5 credits | 3V + 1U | K. Bärenfaller, C. von Mering, C. Beyer, B. Bodenmiller, H. Rehrauer, M. Robinson, R. Schlapbach, K. Shimizu, N. Zamboni | |
| Abstract | Functional genomics is key to understanding the dynamic aspects of genome function and regulation. Functional genomics approaches use the wealth of data produced by large-scale DNA sequencing, gene expression profiling, proteomics and metabolomics. Today functional genomics is becoming increasingly important for the generation and interpretation of quantitative biological data. | ||||
| Learning objective | Functional genomics is key to understanding the dynamic aspects of genome function and regulation. Functional genomics approaches use the wealth of data produced by large-scale DNA sequencing, gene expression profiling, proteomics and metabolomics. Today functional genomics is becoming increasingly important for the generation and interpretation of quantitative biological data. Such data provide the basis for systems biology efforts to elucidate the structure, dynamics and regulation of cellular networks. | ||||
| Content | The Functional Genomics course builds on the training and information students have received in the Bioinformatics I and II courses (prerequisites). The curriculum of the Functional Genomics course emphasizes an in depth understanding of new technology platforms for modern genomics and advanced genetics, including the application of functional genomics approaches such as advanced microarrays, proteomics, metabolomics, clustering and classification. Students will learn quality controls and standards (benchmarking) that apply to the generation of quantitative data and will be able to analyze and interpret these data. The training obtained in the Functional Genomics course will be immediately applicable to experimental research and design of systems biology projects. | ||||
| Prerequisites / Notice | The Functional Genomics course will be taught in English. For the exericse, the presentation and discussion of original research articles will also be in English. Grading The final grade for this course will be based on a written exam, also a grade for the exercise based on the presentation and discussion of an original research paper. | ||||