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Python Programming for Biological Problems

Python Programming for Biological Problems

Introduction to solving biological problems with Python: This course provides a practical introduction to the writing of Python programs for the complete .

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What you'll learn

  • Learn the basic syntax of Python language quickly and easily
  • Implement the main Python language operators: mathematical, logical, relational and conditional
  • Create loop structures using for and while commands
  • Implement functions for modularization of programs
  • Implement the main Python language collections: tuples, lists, dictionaries, sets and arrays
  • Manipulate text files
  • Perform error and exception handling
  • Learn the basic intuition and practice about regular expressions
  • Learn the basic intuition and practice of Object Orientation
  • Estimate the rate of recombination between genes
  • Analyze genetic sequences
  • Model bacterial growth
  • Write a code that simulates a biology test, where at the end the grade is calculated
  • Analyze gene sequence files directly from databases in .fasta format
  • Analyze protein structure files in .pdb format
  • Build a basic identification key for plant species

About The Course  Python Programming for Biological Problems

Biologists, biology students, and professionals in related fields generally have little or no contact with computer programming. However, the growing of data in genomic, protein and organism databases can be used to model the solution for some problems, such as the discovery of medicines and insecticides. It leads biologists to benefit from computer programming knowledge, so that they can develop useful applications in molecular biology, ecology, research on diseases, among others.

This course was developed with the purpose of introducing biologists, students of biology, biomedicine, ecology, pharmacy and professionals in related areas to programming using Python, which is nowadays one of the most used programming languages. It has a clear syntax and is easy to learn especially if you are a professional who are not familiar with technology. Many tools used in the field of biology were written in Python, which makes it a great option for establishing your first contact with computer programming. You will learn the following topics:

  1. Python installation and main tools (IDEs)
  2. Variables, constants and strings
  3. Math operations
  4. Logical, relational and conditional operators
  5. Loops (for and while)
  6. Functions
  7. Lists, dictionaries, tuples, sets and arrays
  8. Manipulation of text files
  9. Error and exception handling
  10. Regular expressions
  11. Object oriented

After learning the basic concepts of Python, you will be able to apply the concepts in exercises, challenges and practical projects related to ​​Biology. Below are some of the case studies that we will implement step by step:

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