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BioSB

Managing and Integrating Information in the Life Sciences

The amount of Life Science data available in the public domain is a vast and growing resource for bioinformatics research. There are over 20 million papers in PubMed and over 1600 biological databases. In many cases finding and applying the information from these resources is far from trivial. Following this course will show you new techniques for working with these… Continue reading →

Pattern Recognition

After having followed this course, a student should have an overview of basic pattern recognition techniques and be able to recognize what method is most applicable to classification problems (s)he encounters in bioinformatics applications. Date: March 23-27, 2015 Target audience: The course is aimed at PhD students with a background in bioinformatics, computer science or a related field; a working knowledge… Continue reading →

Algorithms for Biological Networks

Molecular biology is concerned with the study of the presence of and interactions between molecules, at the cellular and sub-cellular level. In bioinformatics and systems biology, algorithms and tools are developed to model these interactions, with various goals: predicting yet unobserved interactions, assigning functions to yet unknown molecules through their relations with known molecules; predicting certain phenotypes such as diseases;… Continue reading →