27 de ago. de 2019
Before you can run, you must learn to walk.
Kasper's well paced tutorials will give you confidence using the tools you need for genomic study.
11 de mar. de 2016
Excellent introduction to Bioconductor. Thanks to the team. However, absence of inputs from TA or Instructor was felt in the discussion.
por Ji E S•
28 de oct. de 2020
It seems that they just made a course and don't care/update after that. Computational biology field evolved very quickly, but the tools in this course are outdated (like 5 years!), so it's not very practical. Still a good course to learn basics of bioinformatics tools, but you need to do a lot more of self-studying even after finishing the whole genomic data science specialization course for practical applications.
por Hans W•
24 de dic. de 2019
Interesting course! Unfortunately little explanation on why we are doing the analysis steps from a biological perspective. Some quiz answers seem outdated. Additionally the lecturers don't seem to react on the forum. Messages in the forum are pretty old as well, the course seems to be abandoned.
por Shriya J•
4 de dic. de 2021
This course was made 5-6 years ago, so it was tricky when I was downloading some of the software. Also, the course required some background knowldege of R programming, which I did not have: this made the course much harder to complete.
por Katie S•
23 de may. de 2021
There is not enough information for those without significant R experience and you will have to spend a lot of extra time.
por Woon C P•
21 de abr. de 2021
You may need R background before starting this course.
por Jorge E A P•
1 de sep. de 2020
Demanding course with a lot of valuable content. Unfortunately severely hampered due to the use of discontinued packages and lack of response from teachers on forums. Highly improvable
18 de nov. de 2021
can not download many resources due to outdate website or else, the course need update
por Robert D•
18 de jul. de 2021
Extremely out of date and very poorly structured. This course is only barely relevant at this time.
por Shreshth G•
7 de oct. de 2021
I learned very much about Biocnductor from this course
por Can W•
16 de dic. de 2016
It is a good start for people who study epigenomics!
por Hewan D•
26 de oct. de 2020
por Aston S•
26 de ago. de 2020
por Dina A•
13 de jul. de 2022
por John C•
15 de jul. de 2020
This course has a steep learning curve and requires fairly extensive reading outside the lectures, but covers a lot of really useful functionality in R and how to access external information. The supplementary materials provided in the lecturer's GitHub are hugely helpful:
Overall a good course, although I would recommend getting an introduction to R from another resource first in order to have some idea of basic functionality. The course materials are otherwise fairly complete and everything that is not included can be found on Bioconductor Vignettes and help documents, although it would be very useful to have code examples for answers on the quizzes once you've passed - it's not always easy as a beginner to know if you've come to the right answer in the most efficient way.
por Oliver S•
26 de ago. de 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.
por Ye Y•
19 de jul. de 2020
Personally speaking, some previous experience in R is necessary for understanding of this course. Great content overall (with very knowledgeable instructor), but some updates to reflect more recent sequencing advances will make it better. Workload is quite heavy for this course (10-15 hours per week), and expect some suffering while working on the quizzes!
por Adrián G R•
24 de nov. de 2020
I have learned a lot, also struggle a lot! The course could be improve by giving a small explanation before going into the quizzes and by adding the supplementary material in a note at the start. However, the course gave me what I expect.
por sandeep s•
5 de dic. de 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.
por Alberto T•
30 de ene. de 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.
por Ji-Young K•
31 de ago. de 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.
por Thodoris S•
2 de may. de 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.
por Qiyao Z•
21 de may. de 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.
por Essi K•
16 de abr. de 2018
A great introduction to Bioconductor! The course is very hands-on, so be ready to use R extensively.
por Guillermo N•
23 de sep. de 2020
Good introductory course. It might be a bit outdated now.
por Tahira M•
12 de jun. de 2020
A great initiative taken by Johns Hopkins University.