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Computational biology is that science which answers the question “How can we learn and use models of biological systems constructed from experimental measurements? These models may describe what biological tasks are carried out by particular nucleic acid or peptide sequences, which gene or genes when expressed produce a particular phenotype or behavior, what sequence of changes in gene or protein expression or localization lead to a particular disease, and how changes in cell organization influence cell behavior. This field is also referred to as bioinformatics, but many scientists use the latter term to describe the field which answers the question “How can I efficiently store, annotate, search, and compare information from biological measurements and observations?”
The field of computational biology is largely driven by the exponential increase in data collection power. The actual method of data collection has become so varied that the resulting biological knowledge has skyrocketed. There is more likely to be even more of an increase in the demand for this field over the course of the next decade. Current and future theories could apply to an area such as microbe classification and the theories could be further applied to both environmental and health-related topics, such as using the newly classified microbes in an effort to contain or prevent widespread disease.
Students interested in pursuing computational biology as a career would potentially take some of these courses:
- Theory of statistics
- Quantitative genomics and genetics
- Introduction to computing using MATLAB
- C++ Programming
- Differential equations and dynamical systems
- Bioinformatics programming
- Population genetics
- Statistical genomics: coalescent theory & human population genomics
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Who works on Computational Biology Assignment help?
- With a Ph.D. from the Johns Hopkins University, our lead computational biology assignment writer is dedicated to help students understand this complex subject. Her crisp and precise writing has helped many students grasp all the important points of the assignment topic.
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