Download Python Programming for Biological Problems

What you would learn in Python Programming for Biological Problems course?

Biology students, biologists, as well as professionals working in related fields typically are not in experience to computer-based programming. But, the increasing amount of data from genome, protein, and organism databases could be used to create solutions to specific problems like the development of insecticides and medicines. Biologists can benefit from computer programming skills to develop practical applications for molecular ecology, biology, and research on diseases and other areas.

This course introduced biologists, biology students, biomedicine, ecology, pharmacy, and other related professional fields to programming with Python, among the top widely used programming languages. It is a simple syntax to master, especially if you are a professional not familiar with the technology. Many of the tools utilized in biology were created in Python, making it an ideal choice to begin your first encounter with programming in a computer. The following subjects:

1. Python installation and the main tools (IDEs)

2. Variables, constants, strings, and strings

3. Math operations

4. Logical, relational, and conditional operators

5. Loops (for and while)

6. Functions

7. Lists and dictionaries, tuples, arrays, sets, and sets

8. Text files are manipulable

9. Handling of exceptions and errors

10. Regular expressions

11. Object-oriented

After mastering the fundamental concepts of Python, You will then be capable of applying the concepts through challenges, exercises, and practical projects in Biology. Biology. Here are a few cases we'll follow step-by-step:

1. The prediction of the amount of a peptide sequence based to the amino acid composition

2. Create a test in biology which calculates the score and whether the test taker was able to answer each question correctly or wrong.

3. The creation of classes that are related to objects from the biological world

4. .fasta gene sequence analysis

5. Analyzing gene frequencies by the Hardy-Weinberg Theorem

6. Create functions for the estimation of the population ecology

7. Find patterns in the RNA sequences

8. Estimation of distances between genes

9. Basic Identification of species

10. Troubleshooting gene frequencies

11. Making scripts for parsing .pdb-type protein sequence files

12. Transcription of DNA sequences to RNA

Course Content:

• Learn the syntax basics of Python Language quickly and effortlessly
• Implement the primary Python language operators such as mathematical as well as logical, relational, conditional
• Create loop structures by using for and while commands.
• Implement modules for the modularization of programs.
• Implement the primary Python collection of languages such as lists, tuples sets, dictionaries, and arrays
• Manipulate text files
• Handle exceptions and errors
• Master the fundamentals of intuition and practice regular expressions
• Learn the fundamentals of intuition and practice Object The Orientation
• Calculate your rate for recombination that occurs between genes
• Examine genetic sequences
• Model bacterial growth
• Create a program mimics the biology test, and the final grade is determined.
• You can analyze gene sequence files straight from database files in .fasta format.
• Analyze protein structure files in .pdb format
• Create an essential identification key for the plant species

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