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Pavel Pevzner and Phillip Compeau

In the previous course in the Specialization, we learned how to compare genes, proteins, and genomes. One way we can use these methods is in order to construct a "Tree of Life" showing how a large collection of related organisms have evolved over time.

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In the previous course in the Specialization, we learned how to compare genes, proteins, and genomes. One way we can use these methods is in order to construct a "Tree of Life" showing how a large collection of related organisms have evolved over time.

In the first half of the course, we will discuss approaches for evolutionary tree construction that have been the subject of some of the most cited scientific papers of all time, and show how they can resolve quandaries from finding the origin of a deadly virus to locating the birthplace of modern humans.

In the second half of the course, we will shift gears and examine the old claim that birds evolved from dinosaurs. How can we prove this? In particular, we will examine a result that claimed that peptides harvested from a T. rex fossil closely matched peptides found in chickens. In particular, we will use methods from computational proteomics to ask how we could assess whether this result is valid or due to some form of contamination.

Finally, you will learn how to apply popular bioinformatics software tools to reconstruct an evolutionary tree of ebolaviruses and identify the source of the recent Ebola epidemic that caused global headlines.

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What's inside

Syllabus

Week 1: Introduction to Evolutionary Tree Construction

Welcome to our class!

In this class, we will consider the following two central biological questions (the computational approaches needed to solve them are shown in parentheses):

  1. Weeks 1-3: Which Animal Gave Us SARS? (Evolutionary tree construction)
  2. Weeks 4-5: Was T. rex Just a Big Chicken? (Combinatorial Algorithms)

In Week 6, you will complete a Bioinformatics Application Challenge to apply evolutionary tree construction algorithms in order to determine the origin of the recent ebola outbreak in Africa.

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. What do stick bugs and bats have to do with deadly viruses? And how can bioinformatics be used to stop these viruses in their tracks? Start learning today and find out!

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Week 2: More Algorithms for Constructing Trees from Distance Matrices

Welcome to Week 2 of class!

Last week, we started to see how evolutionary trees can be constructed from distance matrices.  This week, we will encounter additional algorithms for this purpose, including the neighbor-joining algorithm, which has become one of the top-ten most cited papers in all of science since its introduction three decades ago.

Week 3: Constructing Evolutionary Trees from Characters

Welcome to week 3 of class!

Over the last two weeks, we have seen several different algorithms for constructing evolutionary trees from distance matrices.

This week, we will conclude the current chapter by considering what happens if we use properties called "characters" instead of distances. We will also see how to infer the ancestral states of organisms in an evolutionary tree, and consider whether it is possible to define an efficient algorithm for this task.

Week 4

Welcome to week 4 of the class!

Did birds evolve from dinosaurs? Over the next two weeks, we will see how we could analyze molecular evidence in support of this theory. You can find this week's Bioinformatics Cartoon from Randall Christopher at the bottom of this E-mail. Why does the T. rex look so much like a chicken? And why is the monkey typing frantically? Keep learning to find out!

Week 5: Resolving the T. rex Peptides Mystery?

Welcome to week 5 of class!

Last week, we asked whether it is possible for dinosaur peptides to survive locked inside of a fossil for 65 million years. This week, we will see what this question has to do with statistics; in the process, we will see how a monkey typing out symbols on a typewriter can be used to address it.

Week 6: Bioinformatics Application Challenge

Welcome to the sixth and final week of the course!

In this week's Bioinformatics Application Challenge, we will use reconstruct an evolutionary tree of ebolaviruses and use it to determine the origin of the pathogen that caused the recent outbreak in Africa.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores phylogenetic principles and techniques used to study evolutionary relationships using distance methods
Examines the methodological considerations and statistical challenges in analyzing molecular sequences for evolutionary inference
Develops computational skills for understanding and constructing phylogenetic trees
Prerequisite knowledge in programming and data analysis is strongly recommended
May require additional software or resources for practical exercises

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Reviews summary

Challenging bioinformatics elective

Learners say that Molecular Evolution (Bioinformatics IV) is a challenging but fun elective that is good for practicing algorithmic skills. The course material is of good quality and the code problems are engaging. However some learners mention that the peer review process can be difficult, especially when working with diagrams of poor quality.
Course is challenging but fun.
"Challenging but fun course!"
"Good course for improving algorithmic skills and keep learning something new"
Material is of good quality.
"Good course material and challenging code problems!"
Peer review can be difficult.
"Onde remark : the peer review was almost impossible to correct because the diagrams (trees) where of such lpoor quality that the numvers where almost completely unreadable!"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Molecular Evolution (Bioinformatics IV) with these activities:
Review Basic Biology
Reviewing basic biology will help you understand the concepts of evolutionary tree construction.
Show steps
  • Read a textbook.
  • Watch videos.
  • Take a practice quiz.
  • Attend a review session.
Follow Tutorials on Evolutionary Tree Construction
Following tutorials will introduce you to the basic concepts of evolutionary tree construction.
Show steps
  • Find a set of tutorials.
  • Follow the tutorials.
  • Complete the exercises.
Read "Introduction to Bioinformatics Algorithms"
This book provides a comprehensive overview of the algorithms and techniques used in bioinformatics, including evolutionary tree construction.
Show steps
  • Read the chapters on evolutionary tree construction.
  • Work through the exercises in the book.
  • Apply the algorithms to real-world data.
Six other activities
Expand to see all activities and additional details
Show all nine activities
Participate in Peer Study Groups
Participating in peer study groups will allow you to discuss the course material with other students and get help from your peers.
Show steps
  • Find a study group.
  • Attend the study group meetings.
  • Participate in the discussions.
  • Help your peers.
Build an Evolutionary Tree from Scratch
Constructing an evolutionary tree from scratch will reinforce your understanding of the algorithms and techniques discussed in the course.
Show steps
  • Gather data on a set of organisms.
  • Calculate the distance matrix between the organisms.
  • Choose an appropriate tree-building algorithm.
  • Construct the tree.
  • Evaluate the tree.
Practice Evolutionary Tree Construction Problems
Practicing problem-solving will improve your skills in constructing evolutionary trees.
Show steps
  • Find a set of practice problems.
  • Solve the problems.
  • Review your solutions.
Create a Tutorial on Evolutionary Tree Construction
Creating a tutorial will help you solidify your understanding of evolutionary tree construction and share your knowledge with others.
Show steps
  • Choose a topic.
  • Research the topic.
  • Write the tutorial.
  • Publish the tutorial.
Attend a Workshop on Evolutionary Tree Construction
Attending a workshop will provide you with an opportunity to learn from experts in the field and network with other professionals.
Show steps
  • Find a workshop.
  • Register for the workshop.
  • Attend the workshop.
  • Participate in the discussions.
  • Network with other attendees.
Volunteer at a Research Lab
Volunteering at a research lab will give you hands-on experience with evolutionary tree construction and other bioinformatics techniques.
Show steps
  • Find a research lab.
  • Contact the lab director.
  • Volunteer your time.
  • Work on a project.

Career center

Learners who complete Molecular Evolution (Bioinformatics IV) will develop knowledge and skills that may be useful to these careers:
Computational Biologist
Computational Biologists use computational and mathematical techniques to study biological systems. They develop and apply algorithms and software to analyze and interpret large datasets, such as genetic sequences and protein structures. This course provides a strong foundation in the principles and algorithms of bioinformatics, which are essential for success in this field. Computational Biologists typically have a PhD degree in computational biology, computer science, or a related field.
Bioinformatics Scientist
Bioinformatics Scientists develop and apply computational and analytical methods to solve biological problems. They use their knowledge of molecular biology, computer science, and statistics to analyze and interpret large datasets, such as genetic sequences and protein structures. This course provides a strong foundation in the principles and algorithms of bioinformatics, which are essential for success in this field. Bioinformatics Scientists typically have a master's or PhD degree in bioinformatics, computer science, or a related field.
Data Scientist
Data Scientists use their knowledge of statistics, computer science, and business to analyze and interpret large datasets. They develop and apply algorithms and software to extract insights from data and make predictions. This course provides a strong foundation in the principles and algorithms of bioinformatics, which can be applied to a wide range of data science problems. Data Scientists typically have a master's or PhD degree in data science, computer science, or a related field.
Statistician
Statisticians use their knowledge of probability and statistics to analyze and interpret data. They develop and apply statistical methods to solve problems in a wide range of fields, including biology, medicine, and finance. This course provides a strong foundation in the principles and algorithms of bioinformatics. Statisticians typically have a master's or PhD degree in statistics.
Software Engineer
Software Engineers design, develop, and maintain software applications. They use their knowledge of computer science to create software that meets the needs of users. This course provides a strong foundation in the principles and algorithms of bioinformatics. Software Engineers typically have a bachelor's or master's degree in computer science or a related field.
Biomedical Engineer
Biomedical Engineers design and develop medical devices and technologies. They use their knowledge of engineering and biology to create new ways to diagnose and treat diseases. This course provides a strong foundation in the principles and algorithms of bioinformatics, which are essential for success in this field. Biomedical Engineers typically have a bachelor's or master's degree in biomedical engineering or a related field.
Genetic Counselor
Genetic Counselors provide information and support to individuals and families who are affected by genetic disorders. They use their knowledge of genetics and counseling to help people understand their risks and make informed decisions about their health. This course provides a strong foundation in the principles and algorithms of bioinformatics, which can be applied to a wide range of genetic counseling problems. Genetic Counselors typically have a master's degree in genetic counseling or a related field.
Research Scientist
Research Scientists conduct scientific research in a variety of fields, including biology, chemistry, and physics. They use their knowledge to develop new theories and technologies. This course provides a strong foundation in the principles and algorithms of bioinformatics.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Molecular Evolution (Bioinformatics IV).
Provides a comprehensive overview of human evolution, from our origins in Africa to the present day. It would be a valuable resource for students who want to learn more about the evolutionary history of our species.
Provides a clear and concise explanation of the evidence for evolution. It would be a valuable resource for students who want to learn more about the scientific basis for evolutionary theory.
Provides a fascinating account of the evolutionary history of the human body. It would be a valuable resource for students who want to learn more about the origins of our species.
Provides a sobering account of the current extinction crisis. It would be a valuable resource for students who want to learn more about the threats facing our planet and the importance of conservation.
Provides a comprehensive overview of statistical methods in molecular evolution, including topics such as population genetics, phylogenetics, and comparative genomics. It would be a valuable resource for students who want to learn more about the theory and practice of statistical methods in molecular evolution.
Classic work of environmental literature that helped to raise awareness of the dangers of pesticides. It would be a valuable resource for students who want to learn more about the history of environmentalism and the importance of protecting our planet.
Provides a comprehensive overview of statistical methods in molecular evolution, including topics such as population genetics, phylogenetics, and comparative genomics. It would be a valuable resource for students who want to learn more about the theory and practice of statistical methods in molecular evolution.
Sequel to The Origin of Species and provides a more detailed account of human evolution. It would be a valuable resource for students who want to learn more about the evolutionary history of our species.
Provides a comprehensive overview of molecular evolution and phylogenetics, including topics such as sequence analysis, comparative genomics, and phylogenetics. It would be a valuable resource for students who want to learn more about the theory and practice of molecular evolution and phylogenetics.

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