BIOCOMPUTATION 2017 - International Symposium on Big Data and BioComputation

Understanding biological systems as computational devices situates at the intersection of Bio aspects and Computational aspects. BioComputation encompasses computation aspects related to living universe. The data on living universe reached a high volume (Big Data) and only a small fraction could be considered until the high computation power and large size storage became available. Cloud and GPU (Graphical Process Units) technologies allow a great level of parallelism and resource sharing, making it possible to process such large data. However, context-sensitivity, privacy, legal/regulatory aspects, as well as specific requirements for dedicated applications (healthcare, wearable/implantable devices) are concerns to still be solved. Large-scale BioComputation benefits from Big Data-oriented solutions and signs to overpass nowadays challenges are high.
BIOCOMPUTATION 2017, The International Symposium on Big Data and BioComputation, is dedicated to advances and challenges on the following topics.
Topics:
Big Data and Context-sensitive Computation
Big Data and Cloud Technology and Services in BioComputation
Big Data, Cloud computing and GPU (Graphical Process Units) for BioComputation
Scale-up and high-performance techniques for data-centric BioComputation
Big Data and Prediction Computational Models
Big Data Computation Applications
Big Data and Evolution Models
Big Data and BioStatistics
Big Data and Personalized Healthcare Computation
Big Data in Genome Analytics
Big Data and Computation on Illness Patterns/Variations (cancer, diabetes, etc.)
Big Data and Donor Information
Big Data and Drugs-related Computation
Big Data and Health/eHealth/Telemedicine Computation
Big Data and Computation in Clinical Context
Big Data and BioImage Computation
Big Data and Molecular Modeling
Big Data and Computational Physics
Big Data and Biological Systems
Big Data and Scalability of BioComputation Tools
Big Data and Trusted Bio-Datasets
Big Data BioComputation and Regulator Borders