After the great success of the SMODIA14 workshop (http://smodia2014.com/) we are proud to announce the

¨Statistical Methods for Omics Data Integration and Analysis 2015”

Valencia, Spain, September 14-16, 2015

Host and Venue: Centro de Investigación Príncipe Felipe (CIPF)


This workshop aims to bring together researchers in the fields of biology, bioinformatics, computational biology, statistics, biostatistics, machine learning, data mining, and pattern recognition that work on the analysis of omics data (e.g., transcriptomics, metabolomics, genomics) and particularly researchers that focus on developing new methods of integrating data, integrating their visualization, and integrating analysis of multiple and heterogeneous datasets. More details of the objectives of the workshop are here.


The Workshop Programme consists of invited talks by prominent researchers in the field, presentations of extended abstracts, poster presentations, and social events. Interested authors can find more information here. The Workshop Programme is here.

Keynote Speakers

A panel of prominent keynote speakers will present in the workshop:

  • Prof. Lennart Martens, Univeristeit Gent-VIB, Belgium
  • Martin Morgan, Fred Hutchinson Cancer Research Center, Washington
  • Jason Ersnt, University of California, Los Angeles

For more information about keynote speakers follow the link.

In addition, the workshop will be attended by most STATegra partners.

Organized by: the STATegra consortium

STATegra (stategra.eu) is an FP7 European project. The STATegra project aims to develop new statistical methods and tools for the integrative analysis of diverse omics data for a more efficient use of the genomics technologies. Furthermore we aim to make them readily available to the research community through rapid and efficient implementation as user-friendly software packages. Among the data-types we consider: mRNA-seq, miRNA-seq, Methyl-seq, Chip-seq, DNase-seq, Proteomics and Metabolomics. In addition we will develop methods for data gathering, management and integration in Knowledge Databases and Ontologies. We will deliver statistical methodologies to generalize meta-analysis of heterogeneous datasets (e.g., different experimental conditions) to address the issues of values missing-by-design, limited availability, poor quality (“dirty”) data and individually insufficiently powered studies. For more information see stategra.eu.

 STATegra partners supporting the Workshop are:

  • Qiagen Aarhus-CLC bio (Denmark)
  • Biomax Informatics AG (Germany)
  • Karolinska Institutet (Sweden)
  • Imperial College of Science, Technology and Medicine (UK)
  • Foundation for Research and Technology – Hellas (Greece)
  • Institut d’Investigació Biomèdica de Bellvitge (Spain)
  • University of Amsterdam (Holland)
  • University of Leiden (Holland)
  • Τhe Ludwig-Maximilians University of Munich (Germany)
  • University of California (USA)
  • Genomic of the Gene Expression Lab, Principe Felipe Research Centre (CIPF) (Spain)

For more information about STATegra partners follow the link.