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Comentários e feedback de alunos de Genome Assembly Programming Challenge da instituição Universidade da Califórnia, San Diego

4.4
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198 classificações
35 avaliações

Sobre o curso

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 Genome Assembly Programming Challenge, 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....

Melhores avaliações

AS

Aug 05, 2018

I would like to say thank you to all who have created this course and specialization! Good material, excellent lecturers!

PO

Aug 04, 2017

Good course and final capstone project. Would recommend anyone from beginner to professional.

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26 — 35 de 35 Avaliações para o Genome Assembly Programming Challenge

por Mikhail O

May 31, 2017

Great challenge, requires quite a lot of time, patience and dedication. But in the end, if you eventually come through all of the trials - you will become a better programmer, for sure.

I've put 4 of 5 because of the mismatches in tasks description for the capstone project, when i had to guess, where the mismatch is, spending extra hours of my time

por Nikhil K

Apr 10, 2020

It is a challenging course, which makes it great.

por Alexander M

Oct 18, 2017

Very complicated tasks; Too much bioinformations

por Prathmesh S J

May 14, 2020

Why we are learn this is biology part

por Chan Y F

Apr 16, 2019

A little bit difficult

por 孙映雪

Apr 12, 2019

相比较课程讲诉的部分,感觉课程作业很复杂

por Xi Y

Feb 16, 2017

challenging

por Omar M A M

Aug 28, 2019

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

por Weidong X

Nov 26, 2016

good.

por Dmitri M

May 09, 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...