Workshop in Statistical Methods for Omics Data Integration & Analysis

 

Workshop - Valencia, Spain

 

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.

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.

Organization: Karolinska Institutet Unit of Computational Medicine

 

 

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