From Functional Genomics to Systems BiologyEMBL Heidelberg, Germany Saturday 8 November - Tuesday 11 November 2014 Registration deadline: Sunday 28 September 2014
Abstract deadline: Sunday 17 August 2014
Registration is now open. Please register here.
Do you have something to tweet? Use this hashtag #EMBLOmics
- Summary and Aims
The past decade has seen an exponential growth in genome-scale measurements of diverse cellular parameters, such as transcription, translation, protein abundance, protein-protein interactions, metabolites and genetic phenotypic interaction. In order to gain a systems level understanding of a given process, cell or organism, the current challenge is to convert these static qualitative maps into dynamic quantitative models of cellular processes. This rather daunting task can only be achieved through a multidisciplinary approach, which requires intensive integration of technology and thinking from basic biology, genomics, computational biology, mathematics, engineering and physics.
The main objective of this conference is to bring people together from diverse disciplines to exchange ideas, promote cross-disciplinary collaborations and to form a synthesis of appropriate systems-level approaches. The meeting is therefore purposely broad to cover all aspects of genomics to systems biology, a unique combination that is highly appreciated by the participants. Over the past decade, this EMBO conference has therefore served as an important venue in helping to shape the field, or to be more precise to help generate a community of scientists that come from very diverse disciplines, each with the common goal to understand the systems level properties of their system of interest.
- Transcription, chromatin and nucleosomes
- 3D structure, epigenetics
- Post-transcriptional regulation and non-coding RNA
- Proteomics, protein-protein interaction networks, metabolites
- Genetic interaction networks
- Single cell variation, biological noise
- Systems Genetics, genotype to phenotype
- Human genome variation
- Data integration, Modelling and prediction