Computational Methods in Systems Biology
The Computational Methods in Systems Biology helps to catalyze the convergence between computer scientists interested in language design, concurrency theory, software engineering or program verification, and physicists, mathematicians and biologists interested in the systems-level understanding of cellular processes. Systems biology was perceived as being increasingly in search of sophisticated modeling frameworks whether for representing and processing system level dynamics or for model analysis, comparison and refinement. The global market for computational biology is expected to reach USD 4,285.1 million by 2020 growing at a CAGR of 21.1%, according to a new study by Grand View Research, Inc. Steady increase in the usage & application of computational biology for bioinformatics R&D programs designed for sequencing genomes to better understand biological systems and increasing number of clinical studies in pharmaco genomics and pharmacokinetics for novel drug discovery studies are expected to drive computational biology demand over the next six years. North America was the largest regional market, accounting for 58.0% of the global revenue in 2013. Its large share is majorly attributed to the growing research investments and initiatives for development of drug discovery.
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