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Fundamentals of Bioinformatics

Offered By: YouTube

Tags

Bioinformatics Courses Machine Learning Courses Regular Expressions Courses

Course Description

Overview

Dive into a comprehensive 18-hour video playlist covering the fundamentals of bioinformatics, taught by Professor Greg Caporaso. Explore topics ranging from biological information and microbiome science to Python programming, sequence alignment, and machine learning in bioinformatics. Learn essential skills such as working with the Linux command line, text manipulation using regular expressions, and sequence homology searching. Gain insights into microbiome analysis methods, reproducible bioinformatics practices, and how to effectively seek help with bioinformatics software. This lecture series, originally recorded for Northern Arizona University's BIO 450/590 course, closely follows Prof. Caporaso's free JupyterBook, "An Introduction to Applied Bioinformatics," providing a solid foundation for aspiring bioinformaticians.

Syllabus

Biological Information (part 1).
Biological Information (part 2).
An Introduction to Microbiome Science (part 1).
An Introduction to Microbiome Science (part 2).
A quick introduction to Python 3 programming (part 1).
A quick introduction to Python 3 programming (part 2).
A quick introduction to Python 3 programming (part 3).
A quick introduction to Python 3 programming (part 4).
Pairwise Sequence Alignment (part 1).
Pairwise Sequence Alignment (part 2).
Pairwise Sequence Alignment (part 3).
A quick introduction to working on the Linux command line.
Text manipulation with regular expressions (part 1).
Text manipulation with regular expressions (part 2).
Sequence Homology Searching (part 1).
Sequence Homology Searching (part 2).
Sequence Homology Searching (part 3).
Microbiome Analysis Methods (part 1).
Microbiome Analysis Methods (part 2).
Microbiome Analysis Methods (part 3).
Machine learning in bioinformatics (part 1).
Machine learning in bioinformatics (part 2).
Getting help with bioinformatics software.
Reproducible Bioinformatics.


Taught by

QIIME 2

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