Our regular bioinformatics research seminar features presentations of original research, invited speakers, and paper reading sessions. Please contact Peter Sykacek to be put on our mailing list for seminar announcements. Peter also maintains a list of past and upcoming talks.

We are collaborating with other universities in Vienna on establishing a new M.Sc. program, introducing a rigorously interdisciplinary approach to Bioinformatics. Please contact us if you are interested in joining the program as one of its first students.

Members of the group have been teaching at university level and as part of international conferences for several years. Here at Boku, we lecture a variety of courses. Due to the nature of our field, all our teaching is in English.

• We are delighted to present a ring lecture and seminar introducing students to Modern Bioinformatics. Bioinformatics is a particularly heterogeneous discipline. Rather than lecturers only presenting basic material in talks, the focus in this course is on showcasing exciting areas of research, modern methods, and current challenges in the field. (read more | register, elective course)
• We offer a one week block tutorial on gene expression analysis, focussing on microarrays. Due to demand, Bioinformatics, selected aspects is run both in January and in June. Places are limited, so please register early. (elective course)
• Following on, we offer a 3-day block tutorial on gene expression analysis by Next Generation Sequencing. Places are limited, please register early. (optional elective course)
• In a separate course for biologists we introduce a microarray data analysis package that reduces the need for programming, Efficient Microarray Data Analysis Using R and FSPMA. (prepare | register, optional elective course )
• We teach Bayesian Data Analysis in the Life Sciences, which comprises a mix of lectures, pencil and paper exercieses, and hands-on data analysis in the computer lab. (prepare | register, elective course)
• We also offer an introduction to data analysis, Machine Learning and Pattern Recognition for Bioinformatics. (prepare | register, optional elective course)
• We contribute introductions to Bioinformatics and Data Analysis as part of the compulsory Introduction to Bioinformatics lecture course. (register)

Term times

The university provides a full term schedule (in German).