Back to Molecular Evolution (Bioinformatics IV)
University of California San Diego

Molecular Evolution (Bioinformatics IV)

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.

Status: Taxonomy
Status: Bioinformatics
IntermediateCourse18 hours

Featured reviews

PO

Reviewed Mar 30, 2021

Good course for improving algorithmic skills and keep learning something new

DD

Reviewed Oct 23, 2019

Yet another course in this series with really high quality content. If you want to learn something about bioinformatics, you're in the right place.

RG

Reviewed Jul 19, 2017

Covers the most important algorithms for phylogenetic trees. Fascinating exam

AB

Reviewed Dec 4, 2016

At some point several instructors lost necessary passion to keep us focused. Otherwise it was a very informed and enjoyable presentation. Historical references are extremely important.

ZX

Reviewed Jul 20, 2019

In depth and comprehensive coverage of the topics in genetic data analysis.

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