Computational Biology: Harnessing the Power of Computing for Biological Insights In Industry
Mathematical biology is an interdisciplinary field that uses methods from applied mathematics, statistics, computer science, and engineering to understand biological data. With the advent of high-throughput experimental technologies that can generate huge volumes of biological data, computational analysis has become crucial for making sense of these large and complex datasets. Computational biologists develop techniques and tools to organize, visualize, model, simulate and analyze biological and biomedical data to extract meaningful and useful insights.
Bioinformatics Tools and Databases
A major focus of mathematical Computational Biology research involves developing databases and analytic tools to store, retrieve, compare and interpret biological data. Genome databases house DNA and protein sequences of all sequenced organisms. Other databases contain information on protein structures, gene expression patterns, biochemical pathways and networks, disease associations, drug targets and clinical information. Computational algorithms are used to mine these organized datasets for patterns, correlations and relationships that can further our understanding of biological processes and diseases. Databases and software tools allow researchers globally to share and collaboratively analyze massive amounts of biological data.
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