Please note these upcoming, very interesting BioSB courses. Register in time and be welcome!
Algorithms for Biomolecular Networks
26 - 30 June, Wageningen
In this course, we will first give a brief overview of molecular biology, the advent of high-throughput measurement techniques and large databases containing biological knowledge, and the importance of networks to model all this. Next, we will discuss variing network models Building on the network inference methods, a number of ways of integrating various data sources and databases to refine biological networks will be discussed.****************************************************
The course is aimed at PhD students with a background in bioinformatics, computer science or a related field; a working knowledge of basic statistics and linear algebra is assumed.
More information about the course can be found here
Registration can be done here
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Algorithms for Genomics
9- 13 October, Wageningen
NOTE: deadline early bird rate = 14 August 2023
In this course, we will cover genome analysis, variant analysis, and pangenomics. Core concepts, applications, and future trends will be discussed, with a focus on the algorithms and data structures underlying state-of-the-art methods.****************************************************
The course is aimed at PhD students with a background in bioinformatics, computer science or a related field. Participants are expected to have experience in command-line usage (Unix shell) and programming (Python), and have basic knowledge of genomics.
More information about the course can be found here
Registration can be done here
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Integrated Modeling and optimization
11- 15 December, Wageningen
NOTE: deadline early bird rate = 16 October 2023
Only measurements cannot provide the answer to unravelling biological complexity. This is because the dynamical behavior of complex systems cannot be reduced to the linear sum of the functions of their parts. Given the huge complexity of biological systems, it is necessary to carefully understand the specific modelling requirements they pose, in order to define what a good model should look like. In this course we offer the participants the possibility to learn and exercise the modeling process.****************************************************
The course is aimed at PhD students with a background in bioinformatics, systems biology, computer science or a related field, and life sciences. Participants from the private sector are also welcome. A working knowledge of mathematics, especially differential equations, is recommendable, but we will distribute preparation material to be studied by students missing the required background. Furthermore, at the start we offer a math refresher to help those participants who are not (yet) involved in modelling on a daily basis.
More information about the course can be found here
Registration can be done here
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We hope to welcome you to one of our courses!
Kind regards,
Petra Aarnoutse,
Community manager BioSB research school
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