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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:
Python installation and the main tools (IDEs)
Variables, constants, strings, and strings
Logical, relational, and conditional operators
Loops (for and while)
Lists and dictionaries, tuples, arrays, sets, and sets
Text files are manipulable
Handling of exceptions and errors
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:
The prediction of the amount of a peptide sequence based to the amino acid composition
Create a test in biology which calculates the score and whether the test taker was able to answer each question correctly or wrong.
The creation of classes that are related to objects from the biological world
.fasta gene sequence analysis
Analyzing gene frequencies by the Hardy-Weinberg Theorem
Create functions for the estimation of the population ecology
Find patterns in the RNA sequences
Estimation of distances between genes
Basic Identification of species
Troubleshooting gene frequencies
Making scripts for parsing .pdb-type protein sequence files
Transcription of DNA sequences to RNA
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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