Call for Poster Submission
CBRC is proud to announce the KAUST Research Conference on Big Data Analyses in Evolutionary Biology on December 4-6 at the Engineering Science Hall of King Abdullah University of Science and Technology.
Recent advancements in evolutionary biology are greatly impacted by the production of massive “omics” data sets, such as genomes, transcriptomes, proteomes and metabolomics that are now available for evolutionary studies. At the same time, the size and complexity of this data requires the Big Data paradigm and approach essential for its analysis. Moreover, comparative analyses are crucial for evolutionary studies, which further lead to the need to develop state-of-the-art bioinformatics technologies and can underpin both research and technology.
CBRC is uniquely positioned to organize this Conference because of our own research commitments in Big Data analyses in life science that is complemented with sophisticated tool development and database construction to support such research. In these domains at CBRC, we focus on the following: (a) how the Big Data is handled in the studies of evolutionary biology, and (b) what kind of bioinformatics tools are needed for these studies. These foci will be intensively discussed for various living systems of organisms, as guided and selected by the conference Program Committee.
In addition, a number of biology-inspired computational algorithms have emerged over the past several decades in areas of artificial intelligence, modeling, optimizationand simulation. Examples of these would be genetic algorithms, ant colony optimization algorithms, particle swarm optimization, artificial neural networks, etc. At this conference, we want to discuss not only what computer science can bring to the field of biology in general and evolutionary biology in particular, but also what can the lessons learned from these fields offer to application and research in computational sciences.
There will be a Poster Session on Monday, December 4. It is open to all KAUST students working in the conference’s relevant areas. The Poster Session provides the opportunity for individuals to present their research and offers an excellent venue for extended informal discussion with conference attendees.
Submissions will be accepted until November 20.
Don’t forget to register for the conference.