Registration is now open for the following three courses:
- Comparative Genomics: from evolution to function (2nd edition), June 2-6, Amsterdam
Comparative genomics between species and between types of data facilitates the understanding of what these data really reflect about the underlying processes. Comparative genomics therewith relies on a solid understanding of basic elements of Bioinformatics like homology and orthology. Moreover it is important to know the assumptions and heuristics of bioinformatic methods for comparative genomics and hence we aim to let participants develop an understanding of why they fail (or misdetect) as a consequence of a variety of biological /evolutionary causes. The course is intended for PhD students and master students in bioinformatics, especially those interested in evolution and/or those who want to compare various genomics data between species.
- Algorithms for Biological Networks (3rd edition), June 30 – July 4, Delft
In the third edition of 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. We will highlight a number of peculiar features of biological networks. Next, a number of basic network models (linear, Boolean, Bayesian) will be discussed, as well as methods of inferring networks from observed measurement data and of integrating various data sources and databases to refine networks. The course is intended for PhD students with a background in bioinformatics, computer science or a related field; a working knowledge of basic statistics and linear algebra is assumed.
- Advanced NGS Course: RNA-seq data analysis (4th edition), 7-9 July, Leiden
This 3-day course is an advanced course for people with experience in NGS. The course will consist of seminars and hands-on command line, Galaxy and R practicals and will cover the analysis pipelines for differential transcript expression and variant calling. Examples will be taken from human and mouse studies. The course does not cover prokaryotic RNA profiling nor plant- and metagenomics aspects. The course is aimed at PhD students and post-docs, but scientific programmers and data analysts with a background in biology and bioinformatics may also attend.