Once we have sequenced genomes in the previous course, we would like to compare them to determine how species have evolved and what makes them different.
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Once we have sequenced genomes in the previous course, we would like to compare them to determine how species have evolved and what makes them different.
Once we have sequenced genomes in the previous course, we would like to compare them to determine how species have evolved and what makes them different.
In the first half of the course, we will compare two short biological sequences, such as genes (i.e., short sequences of DNA) or proteins. We will encounter a powerful algorithmic tool called dynamic programming that will help us determine the number of mutations that have separated the two genes/proteins.
In the second half of the course, we will "zoom out" to compare entire genomes, where we see large scale mutations called genome rearrangements, seismic events that have heaved around large blocks of DNA over millions of years of evolution. Looking at the human and mouse genomes, we will ask ourselves: just as earthquakes are much more likely to occur along fault lines, are there locations in our genome that are "fragile" and more susceptible to be broken as part of genome rearrangements? We will see how combinatorial algorithms will help us answer this question.
Finally, you will learn how to apply popular bioinformatics software tools to solve problems in sequence alignment, including BLAST.
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Syllabus
Week 1: Introduction to Sequence Alignment
Welcome to class!
If you joined us in the previous course in this Specialization, then you became an expert at assembling genomes and sequencing antibiotics. The next natural question to ask is how to compare DNA and amino acid sequences. This question will motivate this week's discussion of sequence alignment, which is the first of two questions that we will ask in this class (the algorithmic methods used to answer them are shown in parentheses):
- How Do We Compare DNA Sequences? (Dynamic Programming)
- Are There Fragile Regions in the Human Genome? (Combinatorial Algorithms)
As in previous courses, each of these two chapters is accompanied by a Bioinformatics Cartoon created by talented artist Randall Christopher and serving as a chapter header in the Specialization's bestselling print companion. You can find the first chapter's cartoon at the bottom of this message. Why have taxis suddenly become free of charge in Manhattan? Where did Pavel get so much spare change? And how should you get dressed in the morning so that you aren't late to your job as a crime-stopping superhero? Answers to these questions, and many more, in this week's installment of the course.
Read more
Syllabus
Welcome to class!
If you joined us in the previous course in this Specialization, then you became an expert at assembling genomes and sequencing antibiotics. The next natural question to ask is how to compare DNA and amino acid sequences. This question will motivate this week's discussion of sequence alignment, which is the first of two questions that we will ask in this class (the algorithmic methods used to answer them are shown in parentheses):
- How Do We Compare DNA Sequences? (Dynamic Programming)
- Are There Fragile Regions in the Human Genome? (Combinatorial Algorithms)
As in previous courses, each of these two chapters is accompanied by a Bioinformatics Cartoon created by talented artist Randall Christopher and serving as a chapter header in the Specialization's bestselling print companion. You can find the first chapter's cartoon at the bottom of this message. Why have taxis suddenly become free of charge in Manhattan? Where did Pavel get so much spare change? And how should you get dressed in the morning so that you aren't late to your job as a crime-stopping superhero? Answers to these questions, and many more, in this week's installment of the course.
Welcome to Week 2 of the class!
Last week, we saw how touring around Manhattan and making change in a Roman shop help us find a longest common subsequence of two DNA or protein strings.
This week, we will study how to find a highest scoring alignment of two strings. We will see that regardless of the underlying assumptions that we make regarding how the strings should be aligned, we will be able to phrase our alignment problem as an instance of finding the longest path in a directed acyclic graph.
Welcome to Week 3 of the class!
Last week, we saw how a variety of different applications of sequence alignment can all be reduced to finding the longest path in a Manhattan-like graph.
This week, we will conclude the current chapter by considering a few advanced topics in sequence alignment. For example, if we need to align long strings, our current algorithm will consume a huge amount of memory. Can we find a more memory-efficient approach? And what should we do when we move from aligning just two strings at a time to aligning many strings?
Welcome to Week 4 of the class!
You now know how to compare two DNA (or protein) strings. But what if we wanted to compare entire genomes? When we "zoom out" to the genome level, we find that substitutions, insertions, and deletions don't tell the whole story of evolution: we need to model more dramatic evolutionary events known as genome rearrangements, which wrench apart chromosomes and put them back together in a new order. A natural question to ask is whether there are "fragile regions" hidden in your genome where chromosome breakage has occurred more often over millions of years. This week, we will begin addressing this question by asking how we can compute the number of rearrangements on the evolutionary path connecting two species.
You can find this week's Bioinformatics Cartoon from Randall Christopher at the bottom of this E-mail. What do earthquakes and a stack of pancakes have to do with species evolution? Keep learning to find out!
Last week, we asked whether there are fragile regions in the human genome. Then, we took a lengthy detour to see how to compute a distance between species genomes, a discussion that we will continue this week.
It is probably unclear how computing the distance between two genomes can help us understand whether fragile regions exist. If so, please stay tuned -- we will see that the connection between these two concepts will yield a surprising conclusion to the class.
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Reviews summary
Highly-rated bioinformatics course
Activities
Review the basics of molecular biology
Show steps
Reviewing the basics of molecular biology will help you refresh your knowledge of the underlying principles of sequence alignment and genome rearrangement.
Browse courses on
Molecular Biology
Show steps
-
Read a textbook or online resources on molecular biology.
-
Review your notes from previous courses in molecular biology.
Follow tutorials on BLAST and other sequence alignment software
Show steps
Following tutorials on BLAST and other sequence alignment software will help you learn how to use these tools to analyze biological sequences.
Show steps
-
Find a set of tutorials on BLAST and other sequence alignment software.
-
Follow the tutorials to learn how to use the software.
Solve practice problems on sequence alignment
Show steps
Practicing sequence alignment problems will help you solidify your understanding of the algorithms and techniques covered in the course.
Show steps
-
Find a set of practice problems online or in a textbook.
-
Solve the problems using the algorithms and techniques taught in the course.
Five other activities
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Show all eight activities
Participate in a study group with other students
Show steps
Participating in a study group with other students will help you learn from each other and reinforce your understanding of the course material.
Show steps
-
Find a group of students who are also taking the course.
-
Meet regularly to discuss the course material.
Create a visualization of the human genome
Show steps
Creating a visualization of the human genome will help you understand the structure and organization of the human genome.
Show steps
-
Gather data on the human genome.
-
Choose a visualization tool.
-
Create a visualization of the human genome.
Create a presentation on genome rearrangement
Show steps
Creating a presentation on genome rearrangement will help you deepen your understanding of the concepts and be able to explain them to others.
Show steps
-
Research the topic of genome rearrangement.
-
Gather and organize information about the different types of genome rearrangements, their causes, and their consequences.
-
Create a presentation that explains the concepts of genome rearrangement in a clear and concise way.
Participate in a bioinformatics competition
Show steps
Participating in a bioinformatics competition will help you test your knowledge and skills, and learn from other participants.
Show steps
-
Find a bioinformatics competition that is relevant to the course material.
-
Register for the competition and prepare for it by studying the course material and practicing your skills.
Start a project to develop a new sequence alignment algorithm
Show steps
Starting a project to develop a new sequence alignment algorithm will help you apply the concepts and techniques covered in the course to a real-world problem.
Show steps
-
Research different sequence alignment algorithms.
-
Design a new sequence alignment algorithm.
-
Implement the algorithm in a programming language.
-
Test the algorithm on a variety of biological sequences.
-
Write a report on your findings.
Review the basics of molecular biology
Show steps
Reviewing the basics of molecular biology will help you refresh your knowledge of the underlying principles of sequence alignment and genome rearrangement.
Browse courses on
Molecular Biology
Show steps
- Read a textbook or online resources on molecular biology.
- Review your notes from previous courses in molecular biology.
Follow tutorials on BLAST and other sequence alignment software
Show steps
Following tutorials on BLAST and other sequence alignment software will help you learn how to use these tools to analyze biological sequences.
Show steps
- Find a set of tutorials on BLAST and other sequence alignment software.
- Follow the tutorials to learn how to use the software.
Solve practice problems on sequence alignment
Show steps
Practicing sequence alignment problems will help you solidify your understanding of the algorithms and techniques covered in the course.
Show steps
- Find a set of practice problems online or in a textbook.
- Solve the problems using the algorithms and techniques taught in the course.
Participate in a study group with other students
Show steps
Participating in a study group with other students will help you learn from each other and reinforce your understanding of the course material.
Show steps
- Find a group of students who are also taking the course.
- Meet regularly to discuss the course material.
Create a visualization of the human genome
Show steps
Creating a visualization of the human genome will help you understand the structure and organization of the human genome.
Show steps
- Gather data on the human genome.
- Choose a visualization tool.
- Create a visualization of the human genome.
Create a presentation on genome rearrangement
Show steps
Creating a presentation on genome rearrangement will help you deepen your understanding of the concepts and be able to explain them to others.
Show steps
- Research the topic of genome rearrangement.
- Gather and organize information about the different types of genome rearrangements, their causes, and their consequences.
- Create a presentation that explains the concepts of genome rearrangement in a clear and concise way.
Participate in a bioinformatics competition
Show steps
Participating in a bioinformatics competition will help you test your knowledge and skills, and learn from other participants.
Show steps
- Find a bioinformatics competition that is relevant to the course material.
- Register for the competition and prepare for it by studying the course material and practicing your skills.
Start a project to develop a new sequence alignment algorithm
Show steps
Starting a project to develop a new sequence alignment algorithm will help you apply the concepts and techniques covered in the course to a real-world problem.
Show steps
- Research different sequence alignment algorithms.
- Design a new sequence alignment algorithm.
- Implement the algorithm in a programming language.
- Test the algorithm on a variety of biological sequences.
- Write a report on your findings.
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