On 2-3 April 2019 our yearly BioSB conference will be held in Lunteren. The conference will feature keynote lectures, parallel sessions featuring selected and invited talks, breakout sessions, a highlights session, poster & demo sessions, network breaks, and a conference dinner and social event. The programme is now online!

Register now via the conference website.

 

 

• Statistics for Omics - 24-28 June 2019, Amsterdam
• Algorithms for Genomics - 1-5 July 2019, Wageningen
• Constraint based modelling - 18-22 November 2019, Leiden 

Statistics for Omics - 24-28 June 2019 in Amsterdam

This 4-day introductory course gives an overview of many statistical tools to analyse omics data. The course can be followed by researchers with a minimum or elementary background in quantitative data analysis. The course is organised by Amsterdam UMC, location VUmc. 

Participants will learn and practice commonly used tools including:

• Tools to explore datasets including clustering, principal components and network analysis
• Models to answer basic statistical questions: differential behaviour (e.g. mRNA expression) and multiple testing, also using Bayesian models
• Models for classification and prediction, including penalised regression
• Models for emerging technologies: radiomics and single-cell sequencing data

Methods will be applied on experimental data in practical hands-on sessions using the statistical software R. Insight about how methods work is given in an intuitive way wherever possible which, combined with some formalisation and the practical work, makes theory accessible and helps cement concepts. Slides and instructions for the practical sessions will be made available electronically to participants.

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Algorithms for Genomics - 1-5 July 2019, Wageningen

Comparative genomics aims to compare large sets of genomes in order to understand and explain differences in traits of an organism. Contemporary methods are powered by fundamental algorithms and data structures, which are efficient and scale to large data sets. A thorough understanding of these algorithms and data structures is necessary for advanced users and developers in this area. In addition, understanding how comparative genomics is developing is important to shape your own research.      

In this 5-day 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 offers an engaging mix of lectures, paper discussions, hands-on tutorials, and a do-it-yourself project.

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Constraint Based Modelling: Introduction & advanced topics - 18-22 November 2019, Leiden

Constraint-based modeling is a powerful modeling methodology that is being used to model a diverse range of biological phenomena. These include both fundamental and applied questions relevant to biotechnology, microbiology and medicine. Central to constraint-based modeling is the use of genome-scale reconstructions that represent particular cellular functions as a biochemical reaction network. In this 5-day course, you will be introduced to:

• the principles of constraint-based reconstruction and analysis (COBRA)
• the underlying mathematical foundations of constraint-based modeling
• methods for integration of omics data with constraint-based models
• basic and advanced methods for interrogating models and interpreting results
• open source COBRA software, including the COBRA Toolbox
• standards for reconstruction and model sharing
• example applications to biomedicine and biotechnology

The course is structured into both lectures and practical sessions so that theory can be illustrated with biologically motivated computational examples.

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