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Opiniones y comentarios de aprendices correspondientes a Genome Assembly Programming Challenge por parte de Universidad de California en San Diego

4.4
127 calificaciones
31 revisiones

Acerca del 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. Do you have technical problems? Write to us: coursera@hse.ru...

Principales revisiones

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 - 31 de 31 revisiones para Genome Assembly Programming Challenge

por Alexander C

Jun 08, 2018

I did not enjoy this course. I did not like the following things:1) It was advertizing a different course (Bioinformatics or something like that) too hard for my taste.2) The problem statements were often incorrect. In particular what is related to the size of inputs. I have wasted too much time because of these issues. For example, the problem statement says that there will be 400 lines of input. After wasting an hour and a half trying to find a cause of a segmentation error I am reading on the forum a message THAT IS ONE YEAR OLD saying that there are in fact 1618 lines of input.3) The final problem (genome assembler) has a very tight memory limit if you consider the size of the input. Solving it within the memory limit would require special skills that are not covered by the material in this course. Or maybe I (and other people on the forum) are just not smart enough.4) There are almost no lectures. All you have to work with seems to be a 60-page extract from a book.

por Omar M

Aug 28, 2019

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

por Henry R

Jul 28, 2018

Not bad, but you had better attend Bioinformatics Specialization so you could understand what tutors lecture.

por John B

Jun 15, 2018

There were countless errors in the descriptions of the programming problems, not just "ambiguities" or "open ended problem definitions" but quantitatively incorrect specific statements (length of inputs, structure of inputs, etc). Many of these issues have been pointed out in the forums, but remain uncorrected as of June 2018.

por Kfir B

May 28, 2017

Very hard to finish the course in the given time....

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...