L01 Finding the Origin of DNA Replication (oriC) Part-1 | Bioinformatics & Computing in Bangla

In this video, we explore where DNA replication begins in a genome and how bioinformatics algorithms help identify the origin of replication (oriC).

Before a cell divides, it must replicate its entire genome. But replication does not start randomly—it begins at a specific location called oriC. The big question is: how does a cell recognize this region, and how can we find it computationally?

This lecture introduces the idea of hidden messages in DNA, inspired by classical pattern-finding problems. We discuss how short DNA patterns (k-mers) appear surprisingly frequently in replication origins and how this observation leads to important algorithmic problems in bioinformatics.

🔍 Topics Covered in This Video:
1. What is the origin of replication (oriC)?
2. Why must DNA replication start at a specific location
3. The idea of hidden messages in DNA
4. Biological motivation behind pattern discovery
5. The Hidden Message Problem
6. Frequent Words (k-mers) in a DNA string
7. Real DNA examples from bacterial genomes
8. Reverse complements and why they matter
9. Why do too many frequent words create confusion
10. Introduction to the Clump Finding Problem
11. Definition of (L, t)-clumps in a genome

This video builds the foundation for understanding more advanced topics such as GC skew, skew diagrams, and algorithmic oriC detection, which are covered in later lectures.

🎯 Who is this video for?
1. Bioinformatics students
2. Computer Science students
3. Life Science & Biotechnology learners
4. Anyone studying Bioinformatics Algorithms

📚 Based on:
Bioinformatics Algorithms: An Active Learning Approach
by Phillip Compeau & Pavel Pevzner