We are thrilled to announce the upcoming BioSB Summer School on Advanced Machine Learning and AI for Life Sciences. Set in the beautiful forests surrounding De Werelt in Lunteren, The Netherlands, the programme runs from Sunday August 23 (end of…
Many diseases are complex, their polygenic nature combined with gene-environment interactions leads to a situation where single omics are insufficient to both understand the biology and to make reliable diagnostic or prognostic predictions. This course will cover advanced multi-omics screening…
This 5-day course aims to provide an entry point to understand the principles of RNA-sequencing (RNA-seq) data analysis, covering both bulk and single-cell RNA-seq (scRNA-seq). Students will learn the practicalities of RNA and scRNA sample preparation, data generation, data cleaning,…
This course is an update of BioSB’s previous fundamental course ‘Integrated Modeling and Optimization’. Location Wageningen Campus, The Netherlands Orion Building (building nr. 103), room B3042 (December 8-10), room B3043 (December 11-12) Co-organisers This course is organized by TU…
The ‘Spatial Omics Analysis’ course is organized in collaboration with MGC (Medical Genetics Center – Erasmus MC and Leiden UMC) and will take place at the Leiden UMC. The course is a new format with elements of the former ‘Single…
In this course, we will cover algorithms for genomics, from genome assembly to pangenomics. The focus will be on the core concepts, algorithms and data structures underlying foundational and state-of-the-art methods, but also applications and future trends will be discussed.…
NOTE: Registration closes on April 16 at 16:00! This course presents algorithms for studying biomolecular networks, e.g. for inferring such networks, optimising flows through networks, graph-based data integration and graph mining. These can be used to solve a variety of…
This course will introduce computational modeling of large (genome-scale) metabolic reaction networks through a scalable framework known as constraint-based modeling. Emphasis will be on the usage in both biotechnology and systems biomedicine. Main topics will be fundamental constraint-based modeling methods,…
In this one-week course, the foundations of machine learning will be laid out and commonly used methods for unsupervised (clustering, dimensionality reduction, visualization) and supervised (mainly classification) learning will be explained in detail. Methods will be illustrated using recent examples…
(Registration is closed) This 4-day course will cover the practicalities of single-cell sample prep and analysis with a particular focus on single-cell RNA-seq libraries. Course coordinator(s) Dr. Susan Kloet (LUMC) Dr. Miao-Ping Chien (Erasmus MC) Dr. Ahmed Mahfouz (LUMC) Course…