Save for later

Comparing Genes, Proteins, and Genomes (Bioinformatics III)

This course is a part of Bioinformatics, a 7-course Specialization series from Coursera.

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.

Get Details and Enroll Now

OpenCourser is an affiliate partner of Coursera.

Get a Reminder

Not ready to enroll yet? We'll send you an email reminder for this course

Send to:

Coursera

&

University of California San Diego

Rating 4.7 based on 20 ratings
Length 7 weeks
Starts Jun 29 (last week)
Cost $79
From University of California San Diego via Coursera
Instructors Pavel Pevzner, Phillip E. C. Compeau, Phillip Compeau, Nikolay Vyahhi
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Science
Tags Computer Science Life Sciences Algorithms Bioinformatics Health Informatics

Get a Reminder

Get an email reminder about this course

Send to:

Similar Courses

What people are saying

According to other learners, here's what you need to know

behind genetics especially in one review

for me this was a very intresting courde where I learined a lot about the research behind genetics especially how difficult it is to interprete the experiemntal data.

chromosme rearrangement analysis in one review

A very well taught course that gives you the ins and outs of sequence comparision and introduces chromosme rearrangement analysis in a succint manner.

community building aspect in one review

I also like the mathematical background in graph theory.Not being a boilogist I miss some extra inforamtion about the biological relevance and would like more pratical exemples before doing the final challenge which I found rather diffucult: only after reviewing my peers I really startd to onderstand the challenge.What I also miss is the community building aspect.

fully grasp what in one review

Although this is a course in bioinformatics I often found myself laying on the bed with a piece of paper drawing graphs in order to fully grasp what I need to do so my code would be more efficient.Excellent work!

graph theory.not being in one review

half an hour in one review

So challenging, so rigorous, and so satisfying upon completion (which I just did half an hour ago).

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Office Help $24k

Student - Help $34k

IT Help Center $35k

IT Help desk 1 2 $40k

Trainer/Help Desk $49k

IT Help Desk 3 $50k

Help Desk Anaylst $50k

Help Desk Specilaist $55k

Help Desk Trainer $55k

IT-Help Desk $57k

Help Center $62k

Product Help $80k

Write a review

Your opinion matters. Tell us what you think.

Coursera

&

University of California San Diego

Rating 4.7 based on 20 ratings
Length 7 weeks
Starts Jun 29 (last week)
Cost $79
From University of California San Diego via Coursera
Instructors Pavel Pevzner, Phillip E. C. Compeau, Phillip Compeau, Nikolay Vyahhi
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Science
Tags Computer Science Life Sciences Algorithms Bioinformatics Health Informatics

Similar Courses

Sorted by relevance

Like this course?

Here's what to do next:

  • Save this course for later
  • Get more details from the course provider
  • Enroll in this course
Enroll Now