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Retour à Bioconductor pour la science des données génomiques

Avis et commentaires pour l'étudiant pour Bioconductor pour la science des données génomiques par Université Johns-Hopkins

4.0
190 notes
37 avis

À propos du cours

Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University....

Meilleurs avis

MA

Mar 12, 2016

Excellent introduction to Bioconductor. Thanks to the team. However, absence of inputs from TA or Instructor was felt in the discussion.

AB

Apr 12, 2018

Amazing course, motivated me to use bio conductor for descriptive seq studies of DNA.

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1 - 25 sur 36 Examens pour Bioconductor pour la science des données génomiques

par Michael R D

Mar 25, 2017

Lots of good data. Really a walk through of coding without too much theory. Would prefer a little more theory. Would have helped in completing the course and capstone. Ended up having to take Eric Lander Intro to Bio course on edx to really understand what I had done. In particular, a better explanation of what is going on at a basic with methylation marks and how the Epigenome Map was constructed.

par Enrique E S C

Jun 13, 2019

So practical! I learned a lot about specific and useful cases. It is true that I have to learn a lot yet but with this background, I will get used to any code soon.

par Mohammad Z A

Mar 12, 2016

Excellent introduction to Bioconductor. Thanks to the team. However, absence of inputs from TA or Instructor was felt in the discussion.

par Arpan K B

Apr 12, 2018

Amazing course, motivated me to use bio conductor for descriptive seq studies of DNA.

par Amy G

Mar 30, 2019

The content is relevant and presented well, though slightly out of date. It would be very helpful to update this course. Note that the discussion forums haven't been tended for years so they are not at all helpful and some code is deprecated without warning.

par Ramesh G

Mar 09, 2019

Great Introductory course for sequence analyses using Bioconductor. However, the quizzes badly require more explanation. An update to the course to introduce currently more relevant packages and analysis methods would add more value.

par MAURICIO D A M

Dec 13, 2016

The course is hard and needs previous knowledge of R. The time for for doing the "quizes" are not long. On the other hand, the questions resemble real world bioinformatics problems. The real inconvenience with this course is that the Forum does not work. Because not all that is questioned in the "quizes" are thought in the classes. So a help from the Forum is a real need for this course to work smoothly.

par Kanvar K

Apr 03, 2019

Extremely complicated, not for beginners!

par Kasper T K

Jan 22, 2018

Great subject, yet a very difficult field to teach, and unfortunately, this course doesn't do it well enough.

The course is sloppy compared to all the other great courses on the Genomic Data Science Specialization.

Since Use of R and Bioconductor can be tricky, it would be nice if better examples were much more elaborated.

The Quizzes have a lot of questions, which are too difficult to answers, generally because the revolve around using 10% of the introduced material to do 90% unexplained analysis. You would need a lot prior knowledge to Bioconductor packages, to be able to answer and even sometimes understand many of the given questions.

Quite a shame!

par Miglė P

Mar 13, 2016

Very frustrating and disappointing experience. The lectures were hard to follow on many levels:

1) The enunciation was unclear and subtitles were often of-the-point, plus they covered-up the code lines that were being discussed.

2) The lecturer often failed to explain logical constructs that were being used, despite the fact that the course should have been understandable with no R cran/Bioconductor experience.

3) The method arguments were either not explained, or very vaguely mentioned, which means applying them to new situations was unnecessarily complicated.

4) No feedback at all was offered from course organisers/reps to anyone, even after complains in discussion forum about quiz questions.

5) No feedback for solving the questions/correct answers even after the deadline.

6) Quiz questions required methods and logical constructs that were not explained/used/mentioned in the lectures. One quiz lacked background information of what data needed to be used (the info was available in the previous version of the course). Some quiz questions were biologically inaccurate i.e. confusing genes/transcripts/exons.

par Graziano P

May 13, 2018

Lectures are poorly understandable and the code examples are not explained in their meaning. Also some questions of the final quizes are difficult to understand. All the lectures and the quizes should have be constructed on a simpler use case

par Chunyu Z

Feb 10, 2016

I learned a lot from this class and the instructor is good.

par 王灿

Dec 16, 2016

It is a good start for people who study epigenomics!

par Oliver S

Aug 26, 2018

The lessons are fairly easy to follow - although the transcript needs re-writing so that the correct words are identified to the speech. I spent a lot of time trying to decipher one or two key words.

The quizzes seemed to test on concepts not yet taught.. perhaps familiar to other Bioinformaticians.. so they were quite tough and required a lot of time to finish.

par Ji-Young K

Aug 31, 2016

I think it is a good class overall but the pace is fast and the resources that can help you is lacking. This will be good for someone who already kind of understands bioconductor.

par Alex Z

Jul 14, 2017

pretty good

par Thodoris S

May 02, 2018

Good course, although some previous experience with R is required and that was not clearly stated beforehand. Moreover it would be better to have a more introductory course to R.

par Alberto T

Jan 30, 2016

Four stars because the content is good. Not five stars because the english is not so good and for a non-english expert it can be difficult to understand, and the subtitle contains quite often errors.

par sandeep s

Dec 05, 2016

The course is tough and needs lots of practice and time to handle the stuff explained in this course. In my opinion the stuff should be split into 2 courses (partA and partB) with detailed explanation of every covered topic.

par Essi K

Apr 16, 2018

A great introduction to Bioconductor! The course is very hands-on, so be ready to use R extensively.

par Qiyao Z

May 21, 2018

It's very helpful in learning genomic data science. I think it's a little difficult in the beginning. The instructor have some accent, which made me even harder to get into it.

par Shivani S D N K S

Aug 02, 2017

I'm going to take this again! hard one.

par Sourav S

Sep 04, 2016

A nice course to introduce Bioconductor to students

par Ming L

Dec 05, 2017

good

par Xing Y

Nov 07, 2018

Lots of knowledge but not systematic. Hard to follow for R beginners and there should have been quiz in lectures (like the "Algorithm for DNA sequencing" course). A lot of knowledge used in the homework was not mentioned/addressed in the lectures.