551-0364-00L  Functional Genomics

SemesterSpring Semester 2015
LecturersK. Bärenfaller, C. von Mering, C. Beyer, B. Bodenmiller, H. Rehrauer, M. Robinson, R. Schlapbach, K. Shimizu, N. Zamboni
Periodicityyearly recurring course
Language of instructionEnglish



Courses

NumberTitleHoursLecturers
551-0364-00 VFunctional Genomics
**together with the Uni Zurich**
More infromations at: http://www.vorlesungen.uzh.ch/FS15/suche/e-50723224.details.html
3 hrs
Mon13:15-16:00ML H 41.1 »
K. Bärenfaller, C. von Mering, C. Beyer, B. Bodenmiller, H. Rehrauer, M. Robinson, R. Schlapbach, K. Shimizu, N. Zamboni
551-0364-00 UFunctional Genomics
**together with the Uni Zurich**
More infromations at: http://www.vorlesungen.uzh.ch/FS15/suche/e-50723224.details.html
1 hrs
Mon16:15-17:00ML H 41.1 »
K. Bärenfaller, C. von Mering, C. Beyer, B. Bodenmiller, H. Rehrauer, M. Robinson, R. Schlapbach, K. Shimizu, N. Zamboni

Catalogue data

AbstractFunctional 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 objectiveFunctional 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.
ContentThe 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 / NoticeThe 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.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits5 credits
ExaminersK. Bärenfaller, C. Beyer, B. Bodenmiller, H. Rehrauer, M. Robinson, R. Schlapbach, K. Shimizu, C. von Mering, N. Zamboni
Typesession examination
Language of examinationEnglish
RepetitionThe performance assessment is offered every session. Repetition possible without re-enrolling for the course unit.
Mode of examinationwritten 150 minutes
Additional information on mode of examinationSchriftliche Prüfung (150 min) und eine benotete Präsentation einer Publikation.
Die Notengewichtung ist 75% schriftliche Prüfung und 25% Präsentation.
Written aidsKeine Hilfsmittel zugelassen.
This information can be updated until the beginning of the semester; information on the examination timetable is binding.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

There are no additional restrictions for the registration.

Offered in

ProgrammeSectionType
Biology MasterElective Compulsory Master CoursesWInformation
Biology MasterElective Compulsory Master CoursesWInformation
Biology MasterElective Compulsory Master CoursesWInformation
Biology MasterElective Compulsory Master Courses II: BiologyWInformation
Computational Biology and Bioinformatics MasterCore CoursesWInformation
Health Sciences and Technology MasterElective Courses IIWInformation