This course covers topics in bioinformatics, cancer genomics, and phylogenetics. By the end of the course, learners will be able to understand and apply concepts such as Hidden Markov Models, pairwise alignment algorithms, analyzing cancer genomics data, multiple sequence alignment, phylogenetic tree building, and algorithms like Smith-Waterman and Needleman-Wunsch. The teaching method includes tutorials, lectures, and practical demonstrations using software tools like MEGA. This course is intended for individuals interested in bioinformatics, genomics, computational biology, and related fields.
Overview
Syllabus
Hidden Markov Model in Bioinformatics (Part 2).
Hidden Markov Model in Bioinformatics - HMM (Part 1).
Overlap Matches using pairwise alignment algorithm (Part 1).
Finding Repeated Matches - Pairwise Alignment using BLOSUM Substitution Matrix.
A User-Friendly Guide for Analyzing Big Data of Cancer Genomics.
Cancer Genomics (Part 3): Easy guide to access RNA sequencing data of cancer (Example: Cbioportal).
Cancer Genomics - Types of NGS techniques (Part 2).
Cancer Genomics - Data science (Part 1).
Cancer Genomics - Data science (Part 1).
Multiple Sequence Alignment and Phylogenetic Tree Building using MEGA Software - Tutorial.
How to install MEGA software for multiple sequence alignment and phylogenetic analysis (Tutorial).
Basics of Phylogenetics - How to calculate evolutionary distance.
Basics of Phylogenetics - Difference between distance and character based methods.
Basics of Phylogenetics - Significance of Root in a tree.
Basics of Phylogenetics - Understanding the nomenclature and types of phylogenetic tree..
SmithWaterman Algorithm (Local Alignment) Part 2 Urdu Version.
SmithWaterman Algorithm (Local Alignment) Part 3 Traceback Urdu Version.
SmithWaterman Algorithm (Local Alignment) Part 1 Urdu Version.
Local Alignment (Smith Waterman).
Introduction to Bioinformatics - Needleman Wunsch algorithm - Part 1 (Lecture 11).
Introduction to Bioinformatics - Needleman Wunsch algorithm - Part 2 (Lecture 11).
Introduction to Bioinformatics - Needleman Wunsch algorithm - Part 3 (Lecture 11).
Introduction to Bioinformatics - Needleman Wunsch algorithm Traceback - Part 4 (Lecture 11).
Introduction to Bioinformatics - Why database is important in biology ? Lecture 6.
Basics of Phylogenetics - Gene duplication and Speciation.
Phylogenetic Tree Topology - Gene species tree reconciliation.
Phylogenetics - Maximum Likelihood Method.
Taught by
Farhan Haq
