Methods for Integrated Analysis of Multi-Level Datasets

organised by Edgar Wingender

The EU-funded project MIMOmics aims at developing a statistical framework for the integrated analysis of metabolomics, proteomics, glycomics and genomic datasets. For supporting all analysis steps needed for identifying and interpreting omics-based biomarkers, data derived from multiple omics platforms across several study designs and populations will be integrated. Specific steps to be addressed include: experimental design, pipelines for data gathering, cleaning of noisy spectra, predictive modelling of biomarkers, meta-analysis, and causality assessment. To enhance our understanding, systems approaches are considered for pathways and structural modelling of biological networks.

The goal of this workshop is to present to the scientific community the concepts of the project, including the methodologies and algorithms employed, in order to stimulate the exchange of ideas and to come up with a comprehensive picture about the requirements in the field.

For more information, please contact: edgar.wingender(at)


The workshop takes place on 10 September 2013 on Göttingen's North Campus, lecture hall HS4 at the Faculty of Physics.

14:00 Alexander Kel (geneXplain GmbH, Wolfenbüttel, Germany)
Introduction into the MIMOmics concept
14:20 Philip Stegmaier (geneXplain GmbH, Wolfenbüttel, Germany)
Methods for the analysis of binding sites in ChIP-seq data
15:00 Coffee Break
15:30 Luciano Milanesi (Consiglio Nazionale delle Ricerche, Milan, Italy)
Science gateway for Genes Networks based Omics data integration
16:10 Alexander Kel (geneXplain GmbH, Wolfenbüttel, Germany)
Pathway analysis of regulatory SNPs
16:50 Yuriy Orlov (Institute of Cytology and Genetics SB RAS, Novosibirsk, Russia)
3D organization of chromosomes mediated by RNAPII complex contacts in human genome
17:30 Edgar Wingender