Finding Hidden Messages in DNA (Bioinformatics I) Course Syllabus

Overview: This course introduces the fundamentals of bioinformatics by exploring hidden patterns in DNA using computational methods. You'll learn how to identify replication origins, detect regulatory motifs, and analyze real genomic data using algorithmic approaches. The course blends biology and programming in a beginner-friendly way, featuring hands-on exercises and interactive learning. With approximately 13 hours of content, this course is designed for learners interested in genomics, computational biology, and data analysis.

Module 1: Welcome

Estimated time: 3 hours

• Introduction to computational biology and bioinformatics
• Overview of DNA replication and the molecular clock
• Algorithmic thinking in biological problem-solving
• Course tools and interactive exercise setup

Module 2: Finding Replication Origins

Estimated time: 2 hours

• Biological mechanisms of DNA replication
• Identifying replication origins in bacterial genomes
• Algorithmic strategies for locating replication start sites
• Interactive text-based exercises on replication sequences

Module 3: Hunting for Regulatory Motifs

Estimated time: 3 hours

• Understanding regulatory motifs in DNA
• Probabilistic algorithms for motif detection
• Finding patterns linked to circadian rhythms
• Application of randomized algorithms to gene sequences

Module 4: Molecular Clock Patterns

Estimated time: 2 hours

• Concept of the molecular clock in genomics
• Detecting evolutionary patterns in DNA
• Algorithmic analysis of conserved genome regions

Module 5: Bioinformatics Application Challenge

Estimated time: 3 hours

• Applying software tools to real genomic datasets
• Analyzing the Mycobacterium tuberculosis genome
• Identifying dormancy-related gene motifs

Module 6: Final Project

Estimated time: 2 hours

• Deliverable 1: Locate replication origins in a given genome sequence
• Deliverable 2: Identify regulatory motifs using randomized algorithms
• Deliverable 3: Submit a report analyzing motif findings in a bacterial genome

Prerequisites

• Basic understanding of molecular biology (DNA, genes, proteins)
• Familiarity with Python programming (helpful but not required)
• Interest in combining biology with computational problem-solving

What You'll Be Able to Do After

• Understand DNA replication origins and molecular clock patterns in genomes
• Apply randomized algorithms to detect hidden messages in DNA sequences
• Use bioinformatics software to find recurring motifs in genes
• Analyze the Mycobacterium tuberculosis genome for dormancy-related motifs
• Develop foundational computational thinking for advanced bioinformatics studies