Medical Biometry and Statistical Bioinformatics
The Core Facility Medical Biometry and Statistical
Bioinformatics, positioned in the Department of Medical
Statistics, is a core facility of the University Medical
Center Göttingen. The task of this Core Facility is the
biometrical and bioinformatical support of the institutions,
working groups and Ph.D. students of the UMG with the planning and analysis
of scientific studies and experiments. The bioinformatical support comprises
particularly the analysis of microarray, proteomics and next-generation
sequencing data. Depending on the available capacities, the support
can also be used by other institutions of the Georg-August-University
Göttingen as well as non-university research institutions at the Göttingen
This website gives you a short overview on the services of the Core Facility and provides you our contact informations. Further informations can be found in our user regulations, and our catalogue of services and charges.
The short consulting-hours can be visited in the case of simple and short problems concerning biostatistical of bioinformatical methods. The short consulting-hours take place each Tuesday from 1 to 3 p.m. In order to avoid longer waiting times each short consulting is usually limited to ca. 15 to 30 minutes. The short consulting-hours can be visited without prior appointment. The registration takes place on-site at PD Dr. Klaus Jung (Humboldtallee 32, room GF 162).
We can carry out the biometrical and bioinformatical planning
and analysis of your scientific experiments and studies.
In general, the Core Facility recommends its early involvement (i.e. already in the planning phase). An early involvement enables an exact matching between experimental design and biometrical or bioinformatical data analysis. Serious mistakes in the planning of experiments can thus be avoided.
Please apply for project-related support by using our application form together with a project abstract (250-300 words). The filled application form can be sent via letter mail or e-mail to PD Dr. Klaus Jung (Klaus.Jung@ams.med.uni-goettingen.de). Alternatively, you can apply for project-related support using our webform. One of our consultants will then contact you to make an appointment.
Depending on the size of the support, the Core Facility (on behalf of the Operation Division G1-1 'Research and General Academic Affairs') has to raise charges. These charges are solely used to refinance our service.
The coached working at the computer serves as support for using the statistic
softwares Statistica, SAS, SPSS and R.
The coached working takes place in the CIP-room located in the Department of Medical Statistics (Humboldtallee 32, GF) as well as in the Learning Resource Center (LRC, Medical Library, Robert-Koch-Str. 40) and is mainly executed by student assistants. The computers in the CIP-room can also be used outside the coaching times, in the case that there is no other teaching activity.
The CIP-room has 12 working stations and provides – besides the statistic software – also the Microsoft Office applications, TeX and access to the internet. The CIP-room user regulations have to be followed.
The current opening hours and coaching times can be found in the following calenders. Please check for changes in the opening hours and coaching times before your visit. The coached working can be visited without prior appointment. The registration takes place on-site at Xenia Schulz (Humboldtallee 32, room GF 164).
The Core Facility regularly offers special courses on biometrical or bioinformatical methods and software. The courses will be announced on this website. Here are some examples of previously performed courses: 'Data Analysis in Proteomics', 'Biometrie und Fallzahlplanung in Tierversuchsanträgen', 'Analysis of NGS-Experiments'.
|Type of service||Mode of application|
|Short consulting||Registration on-site at PD Dr. Klaus Jung (room GF 162)|
|Coached working||Registration on-site at Xenia Schulz (room GF 164)|
|Project-related support (and Ph.D. projects)||pdf-application form or webform|
|Methods- and software courses||Registration according to course announcement|