Description
Introduction to Python for genetics is the name of the course to get familiar with the Python programming language for genetics, published by Yudemy Academy. Many students and professionals of biological sciences are not familiar with programming. However, the increasing amount of biological data generated each year, along with advances in biotechnology and the growing role of informatics in the life sciences, make programming knowledge essential for biologists, biotechnologists, and more! In this introductory course, you will learn how to model simple genetic problems using the Python programming language. First, you will learn how to implement statements or data structures in Python. And finally, using the knowledge we have gained so far, we model some problems in the field of genetics. Since this is an introductory course, we will not use third-party libraries such as Biopython, matplotlib, pandas, etc., but will only use built-in commands, modules, and data structures. In the first part of the course, we have a very short introduction to update some concepts of genetics like gene, allele, frequency, etc… In the second part of the course, you will learn basic commands, data. Python Structures and Functions In these chapters, you should apply the knowledge you have gained so far in the chapter to solve some genetics problems in Python! There are over 20 exercises and challenges to be solved throughout the course!
So, if you want to learn to think algorithmically, model genetic problems in a programming language, and learn how to use the most popular programming languages to model biology problems, this is the course for you!
What you will learn in the Introduction to Python for genetics course:
- You will learn how to model genetic problems with Python
- Basic Mendelian genetics
- DNA replication
- DNA transcription
- DNA translation
- Hardy-Weinberg theorem
- Types of main variables
- User input
- Arithmetic operations
- Relational and logical operators
- Conditional statements
- For and while loops
- Tuples, lists and dictionaries
- Function
- Modules
- File input/output
Course details
Publisher: Yudmi
teacher: Guilherme Matos Passarini, PhD
English language
Training level: introductory to advanced
Number of courses: 65
Training duration: 4 hours and 6 minutes
Course headings
Course prerequisites
A basic knowledge of genetics is desirable, but the course has a brief review of genetics at the beginning
Course images
Course introduction video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
1.17 GB
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