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SmithWaterman Algorithm (Local Alignment) Part 3 Traceback Urdu Version
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Classroom Contents
Bioinformatics Lectures
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- 1 Hidden Markov Model in Bioinformatics (Part 2)
- 2 Hidden Markov Model in Bioinformatics - HMM (Part 1)
- 3 Overlap Matches using pairwise alignment algorithm (Part 1)
- 4 Finding Repeated Matches - Pairwise Alignment using BLOSUM Substitution Matrix
- 5 A User-Friendly Guide for Analyzing Big Data of Cancer Genomics
- 6 Cancer Genomics (Part 3): Easy guide to access RNA sequencing data of cancer (Example: Cbioportal)
- 7 Cancer Genomics - Types of NGS techniques (Part 2)
- 8 Cancer Genomics - Data science (Part 1)
- 9 Cancer Genomics - Data science (Part 1)
- 10 Multiple Sequence Alignment and Phylogenetic Tree Building using MEGA Software - Tutorial
- 11 How to install MEGA software for multiple sequence alignment and phylogenetic analysis (Tutorial)
- 12 Basics of Phylogenetics - How to calculate evolutionary distance
- 13 Basics of Phylogenetics - Difference between distance and character based methods
- 14 Basics of Phylogenetics - Significance of Root in a tree
- 15 Basics of Phylogenetics - Understanding the nomenclature and types of phylogenetic tree.
- 16 SmithWaterman Algorithm (Local Alignment) Part 2 Urdu Version
- 17 SmithWaterman Algorithm (Local Alignment) Part 3 Traceback Urdu Version
- 18 SmithWaterman Algorithm (Local Alignment) Part 1 Urdu Version
- 19 Local Alignment (Smith Waterman)
- 20 Introduction to Bioinformatics - Needleman Wunsch algorithm - Part 1 (Lecture 11)
- 21 Introduction to Bioinformatics - Needleman Wunsch algorithm - Part 2 (Lecture 11)
- 22 Introduction to Bioinformatics - Needleman Wunsch algorithm - Part 3 (Lecture 11)
- 23 Introduction to Bioinformatics - Needleman Wunsch algorithm Traceback - Part 4 (Lecture 11)
- 24 Introduction to Bioinformatics - Why database is important in biology ? Lecture 6
- 25 Basics of Phylogenetics - Gene duplication and Speciation
- 26 Phylogenetic Tree Topology - Gene species tree reconciliation
- 27 Phylogenetics - Maximum Likelihood Method
