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EMBO | EMBL Symposium: From Single- to Multiomics: Applications and Challenges in Data Integration
Germany - Heidelberg

Hosted by: EMBL
Venue: EMBL
Dates: Nov 12, 2017 through Nov 14, 2017

Description
 
Summary
The current speed at which novel high-throughput technologies are developed and large-scale biological data are produced offers tremendous opportunities for enhancing our molecular understanding of biological systems. One of the biggest challenges will be to interpret these large-scale biological “omics” data and to develop computational and statistical approaches to generate a coherent biological model that will enable us to address novel questions about the consequences of genetic and environmental perturbations in complex biological systems.

This conference will provide a platform for bringing together leading researchers from computational biology and various “omics” fields (e.g. genomics, genetics, proteomics, metabolomics, lipidomics, etc) to present their latest work and discuss applications, future ideas and challenges for integrating large-scale biological data across different biological technologies and disciplines.

Aims
This conference aims to bring together experts from various ‘omics fields and computational biology to discuss applications and inspire new ideas for integrating and interpreting data across the different omics technologies. We believe it will provide a interdisciplinary platform for discussing future collaborations between the different omics fields.

Topics
Recent advances in genomics, proteomics, and metabolomics
Integrating different ‘omics data
Post-translational modification: expanding proteome diversity
Novel ‘omics technologies - including ‘omics and structural biology
Clinical applications of multi-omics

Event date
Sunday 12 November 17 - Tuesday 14 November 17

Registration deadline
Mon 02/10/2017

Abstract deadline
Mon 21/08/2017

Contact
events_cco@ocs.embl.org

Organisers
Judith Zaugg (EMBL), Uwe Sauer and Nevan Krogan (UCSF)
 
Additional Information
 
Event URL: http://www.embo-embl-symposia.org/symposia/2017/EES17-10/index.html
ISCB Member Discount: None

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