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Udemy - Introduction to Python for genetics



Udemy - Introduction to Python for genetics

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz
Language: English | SRT | Size: 1.26 GB | Duration: 4h 6m


What you'll learn
You will learn how to model genetics problems with Python
The basic mendelian genetics
DNA replication
DNA transcription
DNA translation
The Hardy-Weinberg Theorem
The main variable types
User input
Arithmetic operations
Relational and logical operators
Conditional statements
For and while loops
Tuples, lists and dictionaries
Functions
Modules
File I/O
How to calculate the frequency of recombinant genotypes and estimate the gene distance
How to model the transcription process
How to model the translation process
How to solve a population genetics problem
Requirements
A basic knowledge of genetics is desirable, but the course has a brief review of genetics at the beginning of the course
Description
Many students and professionals of biosciences are not familiar with programming. However, the increasing amount of biological data generated every year, along with advances in biotechnology and the increasing role of informatics in life sciences makes the programming knowledge essential for biologists, biotechnologists, and so on! In this introductory course, you will learn how to model simple genetics problems using the programming language Python. First, you will learn how to implement the commands or data structures in Python. And Finally, we will model some problems in the field of genetics using the knowledge acquired so far.
Since this is an introductory course, we will not use third-party libraries, such as Biopython, matDescriptionlib, pandas, etc., but only the built-in commands, modules, and data structures
Who this course is for:
Biologists/biotechnologists
Biology/biotechnologists students
Programmers or computer scientists curious to understand the possible application of Python in genetics
Python and/or genetics enthusiasts

Homepage
https://www.udemy.com/course/introduction-to-python-for-genetics/


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