To define it in simple terms, computational biology is a branch of biology that involves the application of computer science and computers and is focused on modeling and understanding the processes and structures of life. It makes use of computational methods to simulate and represent the biological systems.
Computational biology is also known as bioinformatics. It is known to cover a wide variety of biology topics including evolution, biophysics, biochemistry, genetics and cell biology. This branch of biology leverages various quantitative tools such as statistical physics, machine learning, frequency statistics, and algorithm design.
Computational Biologists
Computational biologists are known to make use of theoretical principles to understand the biological system. These professionals are experts in the field of data-algorithm, computational management, statistical processes, biological processes and high-performance computing Rigorous computer programming and extensive research work are part of their responsibilities. Also, they should have a vast knowledge of biochemistry.
Here are a few tips that can help you get into computational biology.
Overall, you need to be curious and passionate about the field. Computational biology is an exciting field. It has a wide variety of application as well. If you are interested in joining the field of computational biology, you already know what to do.
This course will help you think more clearly through many of life's dilemmas and difficult situations. Some logical fallacies you might be familiar with are: Ad hominem, begging the question, red...
Astrobiology, formerly known as exobiology, is an interdisciplinary scientific field concerned with the origins, early evolution, distribution, and future of life in the universe. Astrobiology cons...
To introduce the theoretical and aspects of digital electronics, which is the back bone for the basics of the hardware aspect of computers and other modern electronic gadgets
Fuel your vocabulary today by taking this advanced course rapidly