Introduction to programming for Bioinformatics with Python

Introduction to programming for Bioinformatics with Python, available at Free, has an average rating of 4.39, with 28 lectures, 8 quizzes, based on 358 reviews, and has 12394 subscribers.

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You will learn about Understand Bioinformatics Concepts Manipulate DNA and protein sequences Build your first computer program Develop scripts in the Python programming language Biopython Library This course is ideal for individuals who are Any student who wants to learn about programming for bioinformatics It is particularly useful for Any student who wants to learn about programming for bioinformatics.

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Summary

Title: Introduction to programming for Bioinformatics with Python

Price: Free

Average Rating: 4.39

Number of Lectures: 28

Number of Quizzes: 8

Number of Published Lectures: 28

Number of Published Quizzes: 8

Number of Curriculum Items: 36

Number of Published Curriculum Objects: 36

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

Understand Bioinformatics Concepts

Manipulate DNA and protein sequences

Build your first computer program

Develop scripts in the Python programming language

Biopython Library

Who Should Attend

Any student who wants to learn about programming for bioinformatics

Target Audiences

Any student who wants to learn about programming for bioinformatics

Welcome to the “Introduction to Programming for Bioinformatics with Python” course. Recently, the new sequencing technologies have allowed new discoveries for Life Sciences. However, computer skills became highly necessary to deal with big biological data. Hence, knowing how to build computer programs is essential to Bioinformatics.

In this course, you will learn the basics of programming for developing computer programs applied for Bioinformatics. You will also learn about creating your first algorithms, creating pipelines using the programming language Python, and analyzing biological databases. Python is the main programming language used for bioinformaticians.

This course is ideal for students who are starting in the field of bioinformatics and who do not have previous knowledge of programming.

You will also learn in this course:

? What are computer programs?

? How to create your first scripts?

? What is Python?

? Using the Colab web tool

? What are variables?

? Objects in Python

? Logical operators

? Variable types: strings, integers, Boolean

? Sequences in Python: lists, dictionaries, and tuples

? What are conditional statements?

? What are iterative statements?

? How to compare sequences

? Bioinformatics file types

? What is a software library?

? What is Biopython?

? How to convert a sequence from a string into a Biopython object?

? Manipulating sequences using Biopython

? Translation and transcription using Biopython

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome

Lecture 2: Meet the Course Instructor

Lecture 3: A brief introduction to Bioinformatics

Lecture 4: Why would you need to know programming for Bioinformatics?

Chapter 2: Python fundamentals

Lecture 1: What will you learn in this chapter?

Lecture 2: Introduction to Python

Lecture 3: Colab tool

Lecture 4: Comments

Lecture 5: Variables

Lecture 6: Python Reserved Word List

Lecture 7: Arithmetic Operators

Lecture 8: Objects

Lecture 9: Strings

Lecture 10: Comparison Operators

Lecture 11: Logical Operators

Lecture 12: What is the if statement?

Lecture 13: If statement

Lecture 14: Loops

Lecture 15: The while statement

Lecture 16: The for statement

Chapter 3: Intermediate Level Python

Lecture 1: Lists

Lecture 2: Dictionaries

Lecture 3: Files

Lecture 4: Functions

Chapter 4: Biopython

Lecture 1: Introduction to Biopython library

Lecture 2: GC content

Lecture 3: Counting nucleotides

Lecture 4: Transcription and translation

Instructors

Diego Mariano, Ph.D.
Cientista de Dados e Doutor em Bioinformática

Rating Distribution

1 stars: 3 votes

2 stars: 18 votes

3 stars: 62 votes

4 stars: 121 votes

5 stars: 154 votes

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