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Bioinformatics lectures

via YouTube

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

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