Finding Hidden Messages in DNA (Bioinformatics I) (Coursera)

This course begins a series of classes illustrating the power of computing in modern biology. Please join us on the frontier of bioinformatics to look for hidden messages in DNA without ever needing to put on a lab coat.

In the first half of the course, we investigate DNA replication, and ask the question, where in the genome does DNA replication begin? We will see that we can answer this question for many bacteria using only some straightforward algorithms to look for hidden messages in the genome.

In the second half of the course, we examine a different biological question, when we ask which DNA patterns play the role of molecular clocks. The cells in your body manage to maintain a circadian rhythm, but how is this achieved on the level of DNA? Once again, we will see that by knowing which hidden messages to look for, we can start to understand the amazingly complex language of DNA. Perhaps surprisingly, we will apply randomized algorithms, which roll dice and flip coins in order to solve problems.

Finally, you will get your hands dirty and apply existing software tools to find recurring biological motifs within genes that are responsible for helping Mycobacterium tuberculosis go “dormant” within a host for many years before causing an active infection.

Course 1 of 7 in the Bioinformatics Specialization.

Syllabus

WEEK 1

This course will focus on two questions at the forefront of modern computational biology, along with the algorithmic approaches we will use to solve them in parentheses: Weeks 1-2: Where in the Genome Does DNA Replication Begin? (Algorithmic Warmup) Weeks 3-4: Which DNA Patterns Play the Role of Molecular Clocks? (Randomized Algorithms) Week 5 will consist of a Bioinformatics Application Challenge in which you will get to apply software for finding DNA motifs to a real biological dataset.

WEEK 2 – Finding Replication Origins

This week, we will examine the biological details of how DNA replication is carried out in the cell. We will then see how to use these details to help us design an intelligent algorithmic approach looking for the replication origin in a bacterial genome.

WEEK 3 – Hunting for Regulatory Motifs

This week, we begin a new chapter, titled “Which DNA Patterns Play the Role of Molecular Clocks?” At the bottom of this message is this week’s Bioinformatics Cartoon. What does a late night casino trip with two 18th Century French mathematicians have in common with finding molecular clocks?  Start learning to find out…

WEEK 4 – How Rolling Dice Helps Us Find Regulatory Motifs

Last week, we encountered a few introductory motif-finding algorithms. This week, we will see how to improve upon these motif-finding approaches by designing randomized algorithms that can “roll dice” to find motifs.

WEEK 5 – Bioinformatics Application Challenge

Welcome to week 5 of the class! This week, we will apply popular motif-finding software in order to hunt for motifs in a real biological dataset.