What ist STATegra about?
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 and to make them readily available to the research community through rapid and efficient implementation as user-friendly software packages. Data types included in the STATegra integrative goals are: mRNA-seq, miRNA-seq, Methyl-seq, Chip-seq, DNase-seq, Proteomics and Metabolomics.
The novel methods and tools will allow biologists to plan their experiments and collect data through a solid foundation in integrative omics-specific statistical methods. The project will develop methods for data gathering, management and integration in Knowledge Databases and Ontologies. It 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. The statistical methods will address the creation of integrative models that combine different data sources and will concentrate on causality, i.e., the capability of the model to describe mechanistic relationships and to predict the behaviour of its components, and will present these results under enhanced visualization solutions to help in the interpretation of the analysis results.
A first workshop to exchange will take place in spring 2013.
More Information about work and partners: