Biological Complexity: Towards The New Era Of Patterns, Models And Networks
May 06 to Jul 05, 2013
Organized by
Department of Bioinformatics,
School of Biotechnology and Health Sciences,
Karunya University,
Coimbatore - 641114
Understanding the complexity of biological systems has always been elusive. Though the ultimate goal is to understand the behavior through predictions and effects of modifications along with regulations, the precise simulation to mimic the real biological system had been quite tough. Thus, over the last few decades, biologists understood gradually that discrete biological function can only rarely be attributed to an individual molecule. Instead, a set of complex interactions between the numerous constituents of cell, namely protein, DNA and RNA gives rise to most complex biological phenotypes. Despite having the potential to gather plethora of knowledge for researchers, high-throughput genomics, transcriptomics, proteomics and metabolomics still needs to be integrated with mathematical modeling and pattern reconstruction to unravel the real complexities of the biological systems.
Biological systems serve as the interesting examples of a great number of heterogeneous, interacting local entities which create multiple levels of collective structure and organization. The systematic study of complex interactions in biological systems and the way these interactions give rise to the function and behavior cannot be easily addressed by either conventional computational or classical biological approaches. Moreover, biological computing problems are typically data-intensive and require the use of massively parallel computing resources. Thus, new and innovative ways to find patterns, models and networks from the enormous amounts of data being generated are needed which would aim at solving such biological complexities.
This national conference having talks encompassing experimental & computational biologists and mathematicians and physicists discussing their work on biological systems would lay the foundation of a unique platform with an integrative approach. The key topics would be spanning but not limited to –
· Patterns and models emerging from experiments
· Mathematical modeling of complex systems
· Drug and target interaction networks
· DNA, RNA and structural networks
· Algorithms of complex networks
· Protein interaction networks
· Evolutionary networks
· Cognitive networks
· Metabolic networks
· Pathway networks
· Systems Biology
· Computational neuroscience
The conference would be beneficial to: Students, Teaching faculty, Research Scholars and Scientists in Complex Systems Research who are working in Academic Institutions and Research Laboratories.
REGISTRATION FEE:
The registration fee for the Workshop is applicable to all the participants. It includes participation in the different sessions, conference kit, 2 days lunch and refreshments.
Faculty/Scientist : 1300 INR
Ph. D. Scholars : 1100 INR
Other students : 750 INR
Further Info: http://event.ayojak.com/conference/bcpmn13
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