Unix/Perl for biomedical researchers
Fribourg, 29 August - 2 September 2011
Using web-based tools for Bioinformatics research is very convenient for small amounts of data (e.g. less than 20 sequences). As soon as researchers want to analyze more sequences (from 20 up to thousands sequences or megabytes of data), the task becomes tedious. The course aims at providing the basic knowledge of PERL scripting abilities to analyze large amounts of data by automating recurring tasks or by grouping several tasks into one program.
This course is organized for biomedical researchers and no particular programming knowledge is required, however some basic Unix/Linux computing skills would be of great advantage. (See our UNIX tutorial online)
Registration :The registration is closed.
This course is primarily targeting PhD students of the CUSO (members of the doctoral programs in biology), those should register via their myCUSO account.
The registration fee is CHF 100.- for all participants.
ECTS accreditation: 2 credits
Important: successful participating graduate students will have to inquire if these credits are accepted by their respective graduate schools.
Practical organization - Location
Sessions runs from 9:15 to 18:00 approximately, with a lunch break.
This course is held at auditorium E130 of the building PER II, Bd de Pérolles 90 (Nr 21 on this figure) of the University of Fribourg. Use bus Nr 1, 3, or 7 from Fribourg train station.
For more information, please contact: Corinne Dentan
This course is organized by the SIB Swiss Institute of Bioinformatics in collaboration with the CUSO StarOmics (or *omics) doctoral program (http://biologie.cuso.ch/staromics/), which intends to create a network of PhD students and professionals involved in any project related to Genomics, Transcriptomics, Proteomics, Metabolomics, Connectomics, and all other large scale data-generating technologies.
Students of this program will be offered training, workshops, and seminars in genome-wide and proteome-wide data analysis, biological modeling, quantitative image analysis, programming and statistics, in addition to their thorough education in experimental biology, through a didactic program that complements both their individual research topic and background. In addition several events will be organized (annual retreat, mini-symposia, soft skills courses), which besides their didactic value will also favor networking among the students and professors either within this program or jointly with the federation of doctoral programs of the CUSO (Ecology & Evolution, Plant Sciences, and Microbiology). PhD students of this program will become conversant in both experimental and computational approaches, and will acquire the ability to integrate quantitative and experimental methods in their own research. Graduates from this program will have unprecedented scientific competence to permit them to become future leaders in biological research and beyond. The students will not receive ECTS credits from the StarOmics doctoral program, but an attestation to get ECTS credits in their own university.
For more information, please have a look at: