Bioinformatics is the research field that uses computer skills to deal with biological data.
Recently, Bioinformatics is promoting a revolution in the world. Through computational methods, entire genomes of organisms can be studied, allowing a greater understanding of how diseases act and, thus, helping in the search for new drugs.
To work with bioinformatics, you need to have a strong knowledge of computing, in particular, knowing a programming language. Python is considered one of the most popular programming languages for scientific analysis. Hence, Python has been chosen for most bioinformaticians.
We need more bioinformatics specialists in the world to help this revolution. That’s why we’re offering a free course on Bioinformatics programming using Python.
Clicking on the link you will be redirected to Udemy. Attention, the course will only be free until October 31, 2021. Don’t waste time register now.
In the “Introduction to Programming for Bioinformatics with Python” 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