About the CourseThis one week intensive course teaches current approaches in statistical and computational analysis of large-scale experiments in biology, with a focus on DNA sequencing, RNA sequencing and ChIP sequencing. The course also covers the methods for downstream analysis, including statistical testing, machine learning and bioinformatic metadata integration. It is intended for researchers who have a basic familiarity with the experimental technologies and the biology of the genome. The four practical sessions of the course will require basic programming skill in the language R.
Course StructureThe course consists of
Course ProgramClick here to view the agenda or Download the agenda here
The course material will be available in electronic form soon after the course.
Computer TutorialsThe labs will be worked on in groups with expert guidance (all lecturers from the morning sessions plus teaching assistants).
Participants are required to bring their own laptops with the most recent release versions of R and Bioconductor installed. A WiFi network card is welcome to connect to our local network - however, no connections to the internet will be possible from the WLAN at the course venue.
Flashlight SessionsIn these sessions, course participants will present their current research projects and can receive feedback from other participants and faculty members. Each session has 4 talks of duration 4 min + 2 min discussion each. A total of 16 flashlight presentations will be possible. Selection will be made by the faculty of the course in advance. Please send Wolfgang Huber a "less or equal than" 4 pages PDF file with your slides before 29 June 2012, 17.00h.
A social activity starts around 2pm on Wednesday and ends in the evening. It will include some mountain walking.
No Internet Access
Please note: the course venue will not be able to provide you with internet access. You will be able to connect to a local network that provides the course material.