Introduction to Python for genetics

[LeeAndro]

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

Many students and professionals of biosciences are not familiar with programming.

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 bning of the course

Description

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, matplotlib, 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



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