Network based analysis of 1002 GWAS study defines a pleiotropy map of human cell biology Dr. Pedro Beltrao, Group Leader, EMBL - EBI, United Kingdom Abstract Understanding how genetic variation contributes to phenotypic differences is a central question in biology. This requires models that can describe how rare and common genetic variability impacts on different […]

Metabolic Atlas: Genome-scale metabolic models for easy browsing and analysis Mihail Anton, Project Manager for Metabolic Atlas, NBIS / Chalmers University of Technology, Sweden Abstract As science is advancing towards full reproducibility, the ecosystem of tools and resources for genome-scale metabolic modelling is increasingly open-source. The talk will be centred on showcasing how Metabolic Atlas […]

Metabolic Atlas: Genome-scale metabolic models for easy browsing and analysis Mihail Anton, Project Manager for Metabolic Atlas, NBIS / Chalmers University of Technology, Sweden Abstract As science is advancing towards full reproducibility, the ecosystem of tools and resources for genome-scale metabolic modelling is increasingly open-source. The talk will be centred on showcasing how Metabolic Atlas […]

Network-based integration and visualization of large-scale data Dr. Lars Juhl Jensen, Group Leader, Novo Nordisk Foundation Center for Protein Research, Denmark Abstract Networks are a powerful abstraction for modeling and visualizing the interplay between the many proteins within a cell. In this lecture, I will first introduce the STRING database, which uses the network abstraction […]

Prof. Charlotte Ling, Lund University

Daniel Muthas, Head of Data Science & Bioinformatics at AstraZeneca

Johan Gustafsson, Postdoc researcher, Broad Institute, USA

Abstract Whole-genome methylation sequencing provides single-base resolution of DNA methylation but remains one of the most computationally challenging omics data types to process. Its complexity stems from bisulfite-induced sequence conversion, protocol-specific artifacts, and the large number of available software tools, making reproducible analysis and cross-study integration particularly difficult. To address this we systematically benchmarked ten […]