JOBIM 2015: Journée Ouvertes en Biologie, Informatique & Mathématiques, Clermont-Ferrand – 6-9 July 2015
Session – Biologie Translationnelle & Pharmacogénomique -Translational Biology & Pharmacogenomics
Ana Conesa’s title: Lessons and results of integrative multi-omics data analysis.
Abstract:
Next generation sequencing has speed up genome analysis and brought omics research closer to many organisms and biological scenarios. Today an increasing number of research projects propose the combined use of different omics platforms to investigate diverse aspects of genome functioning. These proposals ideally seek to provide complementary sources of molecular information that eventually can be put together to obtain systems biology models of biological processes. Hence, it is not rare anymore to find experimental designs involving the collection of genome, transcriptome, epigenome and even metabolome data on a particular system. However, standard methodologies for the integration of diverse omics data types are not yet ready and researchers frequently face post-‐ experiment question on how to combine data of different nature, variability, and significance into an analysis routine that sheds more light than the analysis of individual datasets separately. The STATegra project has been conceived to address these problems and provide the genomics community with user-‐friendly tools for the integration of different omics data types. STATegra targets several sequencing based functional genomics methods, proteomics and metabolomics. A first level of results deal with experimental design and power analysis issues in the multi-‐omics context. Furthermore, the project has develop statistical methods for explorative analysis of multi-‐omics datasets, inferring transcriptional networks, defining gene regulatory programs, identify significant pathways based on multi-‐omics evidence and combine experimental data with publics datasets. These methods, together with software implementations, will be presented.