Key words
Bioinformatics and biostatistics
Objectives
During the last five years, bio-informatics evolved from an obscure academic specialization to the keyword of the modern biology and biotechnology. The genetic code of man and a number of model organisms is almost completely broken. This generates a huge number of biological data that only represents the top of the iceberg. DNA-data are linked world-wide with RNA and protein banks and DNA-chips produce expression patterns and time correlations of ten thousands of genes in a short time. With specialized software, “data-mining” becomes possible: seeking for useful genes and gene products. As a consequence, creating new transgenic organisms and developing new medicines and food will become cheaper and faster
Aims for following competences:
- Providing insight in the way DNA, RNA and protein data banks are created, organized and linked
- Learning how to retrieve, analyze, process sequences and how to interpret results with WEMBOSS (Belgian Embnet Node) and other Web bases software
- Learning how to interprete the generated results
Topics
Theory:
Genomic structure of model organisms, technology for analyzing complex genomes, data structure, software selection, background of algorithms en statistics, interpretation of retrieving and processing results, important agricultural, medical and pharmaceutical applications.
Exercices:
Use of software for screening, analyzing and processing DNA, RNA and protein-data, Interpretation of computer-output. Retrieving and comparing sequences, linking DNA with protein data, primer design, cluster analysis,…
Prerequisites
Genetics, biotechnology, biochemistry, informatics
Final Objectives
Materials used
Syllabus " BIOINFORMATICS AND BIOSTATISTICS", Dutch
Study costs
10 Euro
Study guidance
The student can always make an appointment.
Teaching Methods
Teachers courses, practical computer exercises, internet, project work.
Assessment
Written examination, practicum reports
Lecturer(s)
Stefaan Werbrouck
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