Chevron Left
Back to Genome Assembly Programming Challenge

Learner Reviews & Feedback for Genome Assembly Programming Challenge by University of California San Diego

4.5
stars
332 ratings

About the Course

In Spring 2011, thousands of people in Germany were hospitalized with a deadly disease that started as food poisoning with bloody diarrhea and often led to kidney failure. It was the beginning of the deadliest outbreak in recent history, caused by a mysterious bacterial strain that we will refer to as E. coli X. Soon, German officials linked the outbreak to a restaurant in Lübeck, where nearly 20% of the patrons had developed bloody diarrhea in a single week. At this point, biologists knew that they were facing a previously unknown pathogen and that traditional methods would not suffice – computational biologists would be needed to assemble and analyze the genome of the newly emerged pathogen. To investigate the evolutionary origin and pathogenic potential of the outbreak strain, researchers started a crowdsourced research program. They released bacterial DNA sequencing data from one of a patient, which elicited a burst of analyses carried out by computational biologists on four continents. They even used GitHub for the project: https://github.com/ehec-outbreak-crowdsourced/BGI-data-analysis/wiki The 2011 German outbreak represented an early example of epidemiologists collaborating with computational biologists to stop an outbreak. In this online course you will follow in the footsteps of the bioinformaticians investigating the outbreak by developing a program to assemble the genome of the E. coli X from millions of overlapping substrings of the E.coli X genome....

Top reviews

SA

Invalid date

hi, this is a hard course and the videos are not sufficient. but finally i finished.

thanks a lot

PB

Invalid date

May be the course would have given more hints. But a learned a lot from the projects.

Filter by:

51 - 61 of 61 Reviews for Genome Assembly Programming Challenge

By Kleider S V G

•

Aug 22, 2021

Interesting course, and good materials.

By Prathmesh S J

•

May 14, 2020

Why we are learn this is biology part

By Chan Y F

•

Apr 15, 2019

A little bit difficult

By 孙映雪

•

Apr 11, 2019

相比较课程讲诉的部分，感觉课程作业很复杂

By Xi Y

•

Feb 16, 2017

challenging

By Dave L

•

Jul 11, 2020

very good!

By VontMan

•

Aug 28, 2019

The topic is very interesting but it is very rushed and it is very challenging to pass the test

By Cheung W C

•

Jun 29, 2021

Too hard.

By Weidong X

•

Nov 26, 2016

good.

By Dmitri M

•

May 9, 2017

I wish I had the choice of pursuing graph algorithms, when I signed up for the specialization with the promise of selecting one of the two Capstone projects. Bioinformatics? I wanted the other one on practical graph algorithm applications. There are already two dedicated courses by Pevzner and et al, which would have prepared us better for this too specialized and impractical Capstone project...

By Mauricio L C A

•

Sep 1, 2024

- Lack of support by teachers; - Incomplete explanations (they say it is because of the challenge, but then they say that if you buy their other specialization you will understand the challenge. So it really is to sell more);