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Retour à Genome Sequencing (Bioinformatics II)

Avis et commentaires pour d'étudiants pour Genome Sequencing (Bioinformatics II) par Université de Californie à San Diego

289 évaluations
61 avis

À propos du cours

You may have heard a lot about genome sequencing and its potential to usher in an era of personalized medicine, but what does it mean to sequence a genome? Biologists still cannot read the nucleotides of an entire genome as you would read a book from beginning to end. However, they can read short pieces of DNA. In this course, we will see how graph theory can be used to assemble genomes from these short pieces. We will further learn about brute force algorithms and apply them to sequencing mini-proteins called antibiotics. In the first half of the course, we will see that biologists cannot read the 3 billion nucleotides of a human genome as you would read a book from beginning to end. However, they can read shorter fragments of DNA. In this course, we will see how graph theory can be used to assemble genomes from these short pieces in what amounts to the largest jigsaw puzzle ever put together. In the second half of the course, we will discuss antibiotics, a topic of great relevance as antimicrobial-resistant bacteria like MRSA are on the rise. You know antibiotics as drugs, but on the molecular level they are short mini-proteins that have been engineered by bacteria to kill their enemies. Determining the sequence of amino acids making up one of these antibiotics is an important research problem, and one that is similar to that of sequencing a genome by assembling tiny fragments of DNA. We will see how brute force algorithms that try every possible solution are able to identify naturally occurring antibiotics so that they can be synthesized in a lab. Finally, you will learn how to apply popular bioinformatics software tools to sequence the genome of a deadly Staphylococcus bacterium that has acquired antibiotics resistance....

Meilleurs avis

9 janv. 2017

Great course to explore a bit of Bioinformatics for those with no background in Bioinformatics. I love the way the content has been provided, its interactivity increases the interest in the course.

7 déc. 2017

I like the real-world tasks, especially the assembly on the final exam. Some of the programming tasks, such as the antibiotic noisy spectrum assembly, are challenging (which is good).

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51 - 60 sur 60 Avis pour Genome Sequencing (Bioinformatics II)

par Shweta C

5 oct. 2017

Great course for beginning in Genome sequencing..

par Nikhil Y

23 avr. 2020

it was an amazing course to learn!!

par KYRA M D A

2 déc. 2020

It was so hard for me. :(

par Ivan F

9 août 2018

good introduction :)

par joão h o

3 juin 2020

The course covers interesting topics, but the explanations could be clearer and more formal. The extra activities are not very clear or complete (also and I do not consider it a course for those who have no background in programming). The final activity doesn't work properly (the link to realize the project has expired and is no longer available).

par Valeriya K

3 mai 2020

While the skills this course teaches are great, the course feels abandoned, it takes forever to get your assignment reviewed, some of the code assignments are buggy and there is very little explanation as the course progresses

par Howard ( R

4 mai 2020

As with the first course, much of the writing of this course is in need of improvement. Poorly written course material leads to wasted time in trying to decipher what the instructor means.


30 mai 2020

The course, although good, seems to be abandoned as there were no responses from teaching staff for months, and several students were stuck on final assignment for weeks.

par Diego J M G

12 juil. 2018

Great Materials but bad support

par Melinda B

24 mai 2019

The UCSD affiliation is really the only reason to do this course. It is so much harder than it needs to be.