Description
Bioinformatics with Python published by Udemy Academy. Complete guide for beginners.
Did you know that the human genome sequence, if printed in a normal text font, would span 5,000 km, which is equivalent to the distance from London to Montreal, from Los Angeles to Panama, from Accra to Cape, from Tokyo to Calcutta. This sequence alone fills about 3,000 regular book-sized books. Understanding and analyzing this sequence will clearly be an enormous task. But with the advent of powerful tools and databases, we can gain a simple understanding of some of its aspects. In this introductory course, we will explore the different Python tools and libraries used in analyzing DNA, RNA, and genome sequences. So if you are interested in analyzing large volumes of biological data or curious about DNA sequencing, protein synthesis and how to design vaccines. Then this course is for you. Whether you are a student or researcher, data scientist or bioinformatics engineer, computational biologist, this course serves as a useful guide to doing bioinformatics in Python. We’ll explore bioinformatics with BioPython, Biotite, Scikit-Bio, BioJulia and more.
What you will learn in the Bioinformatics with Python course:
- Bioinformatics with Python
- Learn Biopython and Scikit-bio
- Sequence analysis and sequence alignments
- Write custom functions for DNA sequence analysis and protein synthesis
- Create our own bioinformatics python package using poetry
Who should attend :
- Beginner Python programmers are curious about doing bioinformatics with programming
- Students and researchers
- Beginners in bioinformatics, computational biology and genomics
Course Specifications
- Editor: Udemy
- Instructor: Jesse E. Agbe
- French language
- Training level: Introductory to Advanced
- Number of courses: 45
- Training duration: 13 hours and 8 minutes
course topics
Course prerequisites
Basic understanding of biology and bioinformatics
Basics of Python Programming
Desire to learn
Pictures
Introductory video to bioinformatics with Python
installation guide
After the clip, watch with your favorite reader.
Subtitle: None
Quality: 720p
Download link
password file(s): free download software
File size
6.02 GB