Jun 23, 2018
Thank you very much Dr./Professor, Liliana Florea. I've learned a lot. It's a very good opportunity to improve my knowledge. This means a lot to me.
Mar 14, 2016
Very informative course. Because I am new to this, it was at times confusing. But overall, great teaching and great experience. Thank you.
par Shannon W•
Dec 12, 2017
Great course! She actually teaches you what to do (the programming basics behind complicated genomic analysis) and why you are doing it. This was the most well taught and well designed course in this series so far, and helped me better understand earlier courses. Very glad that I jumped ahead in the series to take this one before the others.
par Ming L•
Dec 05, 2017
par Karim A D•
Sep 07, 2016
I recommend this course to be provided early along the Genomic Data Science Specialization, probably before "Genomic Data Science with Galaxy" as it would help make the later one much more easier to understand.
par Sean M•
Feb 13, 2018
Great course. I think it should be the first in the whole series.
par Ross S•
Mar 17, 2018
This was one of the most valuable courses I have taken online.
par Jacob A•
Apr 27, 2017
par Sael M A•
Jul 14, 2018
Great resource to learn unix codes and prepare your self for analysing genomic data
par Yawei W•
Apr 15, 2019
I really like this course! (The exams are a bit challenging though.)
par Andrew M•
Aug 22, 2019
Interesting course. I have used some of this tools for some time but I find their's still something new to learn
par oyebode j O•
Dec 20, 2018
Very fine course. drills students well. would prefer if files used in examples were provided for students before the class. it makes life easier. would also prefer students are advised how to install tools on their laptops. Good course overall and I learnt much
par Keri M•
Feb 27, 2019
I learned a ton and feel like I understand the formats of all of the different really well. I will say that week 4 is out of date in that Tophat has been replaced with HISAT and I wasn't able to download the tools needed. It wasn't a waste of time to learn tophat but would have been nice to learn the most recent tools.
Mar 03, 2019
This course is reasonably difficult. The assignments are quite fulfilling and well organized by virtual machine. I hope the slides could be more detailed because it too simple.
par Erik K•
Mar 04, 2019
Excellent Introduction to Command Line Tools used in High Throughput Sequencing Analysis.
par Michael G•
Jul 22, 2018
There could be more resources provided and the lecture at the beginning of module 4 should be placed at the beginning of the course. Because the overview of molecular biology serves as background for the entire course.
par Andrew J D•
Aug 27, 2018
Very informative course. Only downside is that the example datasets/scripts are not provided (which I tend to find to be useful for learning informatics).
par Xing Y•
Oct 02, 2018
The course is good but not "self-contained"...
par Vassil D•
Jan 09, 2017
More in-depth explanation would be better. Reasonable projects, overall. Well structured.
par Benson N M•
Dec 21, 2016
Awesome course. The skills taught will cut across not only in genomics but also, in other aspects. The discussion forum was amazing! The mentors and people who were doing the course at the period i did it were very helpful.
par Mary W•
Mar 17, 2016
This course covers used of command line tools such as the Tuxedo suite. Just what I was looking for. The subject was well paced and the material covered appropriate. I felt confident at the end of the course that I had almost mastered something valuable. The discussions were not very active and I felt rather isolated, so I'm taking one star off for engagement.
par Deepti R•
Nov 06, 2017
Excellent quizzes and exams. Smooth flow of lectures. However, as a beginner I faced a lot of difficulty in installing the required tools. I could complete the course only because the tools were provided as a package with the VM box. I will be handling NGS data for my PhD project, for which I will have to install the latest versions of these tools. Manuals are cryptic. A lot of errors keep cropping up whenever I try to install anything. This course should have taught us that part too. I shall be thankful if you could provide a short course or a step by step write up for the same, else we will not be able to apply what such a good course taught us.
par Maximilian K•
Jan 05, 2017
Thanks for the great course. IT was just right level of easiness/hardness. While the quizzes were basic, the homework quizzes were hard but not unsolvable. These actually motivated to further spend time on familiarizing with the tools, whch is essential for home usage.
Sometimes the videos had their length when we watched somebody else typing... that could have made better.
par Wenting W•
Sep 11, 2017
par Qianhao L•
May 12, 2018
Could have more tools introduced, for instance SNP calling tools.
par Gonzalo C S•
Feb 06, 2017
It was a useful course. A pity that the instructor makes so many mistakes when speaking, which makes sometimes a bit confusing to follow.
par Nate R•
Oct 31, 2016
Coming in as a veteran coder of 2 decades, I thought this would be "easy". And, had I completed it using my own C/Python code, it probably would have. However I made the decision to stick with ONLY the command line tools and actually ended up learning a lot more about basic unix tools that I rarely get to use.
Be prepared to knuckle down and REALLY learn a lot about the specific commands and what they provide as there are a ton of them. The instructor goes into a ton of detail on each one and the course is laid out in a nice flow starting with the basics and ending with a very challenging exam at the end that showcases an entire RNA-seq technique.
With a bit more polish, it would be 5 stars, but as it stands there is a bit rough around the edges.
I think this course should be #2 in the specialization as the underlying concepts of RNA-seq and how the tools fit together would have been invaluable while taking the current #2 course on Galaxy. I think that I can now go back and get 100% on the final project armed with the RNA-seq techniques that were not originally covered in my first run through the Galaxy content.