Bioinformatics & Systems Biology

Computational Systems Biology

Computational biology involves theoretical methods, mathematical modeling and computational simulation techniques to study of biological and social systems. The field is includes foundation in computer science, applied mathematics, animation, statistics, biochemistry, biophysics, molecular biology, genetics, genomics, ecology, evolution, anatomy, neuroscience and visualization computational biology. Sometimes referred to as bioinformatics, is the science of using biological data to develop algorithms and relations among various biological systems. Prior to the advent of computational biology, biologists were unable to have access to large amounts of data. Systems Biology focuses on analytical and computational models that are strongly supported and inspired by real biological systems and that integrate current empirical knowledge. 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 pharmacogenomics 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.