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Bioinformatics For Introduction to programming with Python

Bioinformatics For Introduction to programming with Python

Final Project: A Structural Bioinformatics Problemoleh B Ekmekci2016Dirujuk 44 kali — In short, much of post-genomic biology is increasingly becoming a form of computational biology

What you'll learn

  • Understand Bioinformatics Concepts
  • Manipulate DNA and protein sequences
  • Build your first computer program
  • Develop scripts in the Python programming language
  • Biopython Library

Requirements

  • No basic knowledge required

Description

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

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