Explore a comprehensive series of bioinformatics lectures covering a wide range of topics. Dive into Hidden Markov Models, pairwise alignment algorithms, and cancer genomics. Learn about multiple sequence alignment, phylogenetic tree building, and various alignment algorithms including Smith-Waterman and Needleman-Wunsch. Gain insights into the importance of databases in biology, gene duplication, speciation, and maximum likelihood methods in phylogenetics. Access user-friendly guides for analyzing big data in cancer genomics and working with RNA sequencing data. Master essential bioinformatics concepts and techniques through these in-depth lectures, suitable for both beginners and advanced learners in the field.
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
