Bioinformatics is a scientific discipline focused on handling biological information. It involves the collection, storage, retrieval, processing, analysis, and management of this information through computational techniques. This branch of science uses mathematics, statistics, and biology. It also uses computer programming and information technology to understand data. This helps in comprehending the biological importance of a wide variety of data. Pharmaceutical companies and organisations working in the biotechnology sector use bioinformatics technologies. Bioinformatics is also being increasingly used for drug discovery and development process.

Bioinformatics seeks to understand and solve the following the disease-related problems at molecular level:

• Nucleic acid and protein sequencing and analysis
• Find proteins, their interactions, and activity
• Molecular modeling, and molecular dynamics
• Study the function of a molecule based on its structure
• Gene expression, analysis, prediction and establish genomic library.
• Drug designing and discovery

Students often drop out mathematics at higher secondary level (grades 11 and 12). They feel that if they study biology in the future, they don’t have to study mathematics. This may have been true 20 years ago. However, today mathematics is essential. Learning computer science and programming is also crucial. These fields are vital for studying bioinformatics and biotechnology, two branches of science that are going to be extremely important.

Bioinformatics = biology + informatics (information technology) and biotechnology = biology + technology. Both informatics and technology involve study of mathematics, statistics and computer science. So, in a typical bioinformatics and biotechnology course, in addition to subjects from life sciences such as molecular biology, genetics, biochemistry, cell biology, proteomics, immunology, medicinal chemistry, enzymology, industrial psychology and intellectual property rights (IPR), the following subjects based on mathematics, statistics, and computer science are also taught:

Mathematics and Statistics-based courses:

• Mathematical Methods
• Matrices and Determinants
• Differential Calculus
• Integral Calculus
• Linear Algebra
• Eigen Value Problems
• Statistical Methods
• Differential Equations
• Numerical Analysis
• Probability Theory
• Random variables
• Central Limit Theorem
• Distributions – Binomial, Poisson, and Normal distributions
• Test of Hypothesis

Programming and Computer Science Based courses:

• Computer Fundamentals and Networking
• Linux operating system
• Programming (usually two out of Python, C, Java and Perl)
• Microsoft Excel or similar spreadsheet
• Data Structures
• Algorithms and Graph Theory
• Database Management Systems – SQL
• Data Mining
• Web Technologies
• Digital Image Processing
• Data Analysis with R
• Artificial Intelligence
• Machine Learning and Deep Learning Algorithms for Bioinformatics
• Matlab package
• Monte Carlo Simulation
• Markov Chains
• Computer-Aided Drug Designing
• Embedded Systems in Life Sciences

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Theoretical Biology

https://scitechgen.com/2023/08/05/theoretical-biology/

Categories: Blog, C Programming, Computer Science, Courses, Java, Mathematics, Python Programming

Tags: AI, bioinformatics, biotechnology, computer programming, deep learning, machine learning, Mathematics, Monte Carlo method, Perl, Programming, Python, statistics