Aug 08, 2017
This course provided me a very quick overview of all the core concepts pertaining to DNA sequencing. It is very well organized, crystal clear demonstration of concepts and I really enjoyed the course.
May 19, 2020
Very good course this is. Just a little advice, please make the quiz questions more clear and more specific because one shouldn't waste time to understand a question which is very easy to implement.
автор: ELISA W•
May 17, 2018
I am torn about this class. On one hand, there was some good information, and I definitely learned more throughout the course. On the other hand, as a biologist trying to learn programming, this course was insufficient. Very little of the programming code was explained (and considered obvious?). I spent a lot of time googling to understand the code so that I could not only learn but complete the assignments. There are some concepts (like the use of __init__) which I still do not understand. Also, the "hints" to accomplish the homework assignments were definitely not well explained. I only managed to increase the speed of my programs by going through the discussion forums for hours until I found something that helped.
Also, as a biologist, it is obvious that this course is not designed so that a computer programmer learns much about the biology. A simple (but necessary!!) change would be to refer to the left and right as 5' and 3'. Using biological terminology would have helped me understand what the lecturer was talking about.
Plainly, this is a course for a computer person to learn more code. It could be taught to do so much more!!
Dec 24, 2019
I feel this course is getting old, mainly the parts that use R. R software /modules are used are outdated and not supported by latest R versions. There is no instruction as to how to make the software work,or exactly which older R version supports what is required to get classes 6 and 7 done. + the virtual box recommended for Course 5 the command line course is not working under Windows 10. There is no info as to if Windows 7 is required. + It appears there is no support either. I have loaded linux on my window 10. Will try coursera 5 one more time. The problem with this program is it takes way, way too much time to get the software to work. And coursera and the teachers do not seem to have response at all.
автор: Michael R D•
Nov 10, 2016
This was really fun. Really enjoyed the a-ha of the algorithms and the fun of solving the alignment and assembly problems. Feel mildly powerful after assembling a virus genome.
автор: Lau, W K•
Mar 12, 2016
Excellent intro to the computational challenges in analyzing genomic sequences.
Lectures and programming exercises explain algorithms very clearly even for beginners.
автор: Christos G•
Feb 14, 2016
The subject of the course is very interesting. Lectures are very engaging and professors do a great job explaining abstract concepts. On the other hand, assignments are extremely difficult and frustrating. The lack of feedback for the assignments leaves you with important knowledge gaps and that's a serious flaw for a course that offers so much most of the time.
автор: Kee K X•
Jun 06, 2020
The homework is confusing and would cost a lot of time on unrelated stuffs.
автор: Amogh K•
Jul 06, 2020
good course but no support available at all...
автор: Joanna W•
Aug 31, 2018
This is an excellent course. Lectures are very well prepared, practicals provide step-by-step explanations of the scripts (which is especially useful for people with little coding experience) and homeworks are well thought through, so that they force students to use the knowledge gained in the module. Some of the homeworks are challenging, but all the information needed to do the exercises is provided in lectures and practicals. All the notebooks containing scripts are provided, which makes it easy to take notes and better understand the scripts by running some examples. The way the concepts are explained in the lectures (the computational problem is described in details and then the ways of dealing with it are carefully explained in order of increasing complexity) provides insight into not only how these algorithms work but also why (what is the purpose/cause/reason behind these solutions). I can imagine how much work and thought went into preparation of these lectures and I honestly admire the teachers for their efforts. Taking this course was a great experience: I learned a lot and enjoyed it a lot. A big thank you! Please, keep up the good work.
автор: Stephanie T E•
Jan 06, 2019
This course was a really awesome course for anyone that has a light background in Python and wants to look more into bioinformatics. The instructors were very passionate and clear, and there was a good balance between learning about biology and the programming aspect. However, for somebody that only has the programming knowledge from Course 3 of the Genomic Data Science Specialization (Python for Genomic Data Science), that course, I believe, is too light for the new Python concepts taught in this course. I believe that before taking this course, you may need more background knowledge for Python. However, this is still a stellar course that I greatly enjoyed, with the homework and assignments being appropriately challenging.
автор: Michael C•
Jun 28, 2017
This is hands-down the best course in this specialization. There are good teachers (many of whom are teaching the other courses) and then there are the top 20% excellent teachers (Ben Langmead) who teaches this class. In addition to being an excellent computer scientist, he is also an excellent teacher and he makes the material interesting and approachable. The homework assignments are challenging, but created in such a way that the difficulty lies more in grappling with the concepts themselves, and less with debugging python code or whatever. I highly recommend this course, and hope that Ben will do a "Algorithms: Part Two" covering Burrows-Wheeler and going into more depth, maybe discussing pseudo-alignment as well.
автор: Yee L T•
May 02, 2020
I would definitely like to thank Ben and Jacob for this amazing course. I love the way Ben manages to present and break down the problems in a very concise and easy to follow way. The practicals were very useful to understand the code. I do admit (as was written in the first week) that an undergraduate degree in computer science would have been a great help. I struggled quite a bit as I had to learn programming from scratch but I still was able to learn a great deal about the bioinformatics world. Thank you once again
автор: Eduardo A U•
Aug 18, 2017
Very good course! You end up with a repertoire of nice algorithms that might be useful in many kinds of genomic analysis. While these are far from the optimal algorithms used by the actual genomic programs, they provide a nice introduction to the subject. It would be very good to have another course for "Advanced algorithms for DNA sequencing" where strategies for dealing with the several complicators of actual genomic data are added on to the knowledge obtained in this course.
автор: Julia O•
Apr 18, 2017
I really appreciate how much effort the authors have put into the course 'Algorithsms for DNA sequencing'. The clarity of the lectures is absolutely amazing and the assignments are doable. The assignments took me a lot of time because my only programming background is the 'Python for Genomic Data Science' course. Another really positive aspect about this course is that it helped to consolidate the python coding I had learned in the previous course.
автор: Gregory S•
Mar 30, 2016
This is a good (albeit short) introduction to algorithms for DNA sequencing. The instructor does a good job of explaining some select algorithms as well as the pitfalls they may have. The programming assignments are short but fairly challenging for inexperienced programmers. If you like this course, you will enjoy the 6-part Bioinformatics specialization from UCSD on Coursera where they go into these algorithms in much more detail.
автор: Yue H•
Dec 29, 2016
The lectures and practicals are very easy to understand. The programming homework is a little bit hard for a python beginner to finish. I wish there are more hints or test examples. It would be better to include some reference papers for those who are more interested in the sequencing techniques and methods to read by themselves. And it would be very nice to have a summary slide at the end of the course.
автор: Thomas L•
May 26, 2017
Great course. For the complexity of the subject, the presentations are relatively easy to follow because the teacher is articulate and clear and the slide decks are informative. The homework assignments are challenging but not frustratingly so. I would recommend some familiarity with a programming language (although knowledge of Python in particular is not necessary) and some interest in bioinformatics.
May 17, 2017
This was a very good course! It delivers what it promises successfully and help understand the problem of DNA sequencing. It is a very helpful course, explains domain terms and constructs a background for people that have no background in bioinformatics. It also addresses problems, algorithms that are used in this field and in programming assignments, it forces for the learner to implement them.
автор: Robert D•
Aug 15, 2019
Of the first four courses in the specialization, this is by far the best. The instructor is incredibly clear, teaches with an obvious interest in student learning, and conveys complex topics incredibly well. The practical sessions are an amazing addition and it is impressive to watch the algorithms come alive in such an elegant fashion. Both instructors in the practicals are exceptional.
автор: Mikalai Y•
Jan 11, 2019
This is one of the best courses I've seen so far, that explains and showcases main principles, fundamentals of genomics, algorithms. Lectures are very informative and use metaphors for person to understand complex tasks in simple manner. I loved practicals as you could go along with the lecture in parallel, seeing how such algorithms were made and what steps to take while doing so. 5/5
автор: Kasper T K•
Nov 27, 2017
This course, is the absolute best course of the entire specialization!
The way the assignments are structured, relative to how well each video explains the contents of each subject, is so fullfilling that very little help is needed to complete homework assignments and quizzes! Small examples are even included, to make it possible to test your solution!!
автор: Cheng J•
Nov 12, 2018
The course is very helpful to me,especially the code that the professor assistants wrote in the class. There are some algorithms have mentioned and completed ,but I think if the class talked about the software like BWA, BFAST and other DNA sequence or De novo assembly software, it will be more perfect and helpful. Finally ,thank you for your work
автор: Damian D•
Jul 15, 2020
Definitely you need to know some basic python. The better your programming skills the better basically. But other than that the course is fantastic. The tutors explain all the smallest details very well and exams are very clear. It was a pleasure working through this course even if I got stuck multiple times during exams. Forum helps a bit.
автор: Yuqi Z•
Jul 22, 2020
I really appreciate the format of combing lectures and practicals. We can understand the concepts behind algorithms and actually know how to implement them. I like the metaphor of puzzles vs genome reads throughout the course which made the concepts easy and clear. Thank you for all the efforts that you put into this course!
автор: Mohamed E•
Aug 24, 2018
this is just so good. i did take a lot of courses online and in my university on bioinformatics and this is the best course design i saw so far. i had to take pauses while watching the lectures to appreciate how much effort the creators of the course put to make it this connected and comprehensive. thank you!
автор: Nate R•
Aug 10, 2016
Already having a computer science background, this module was right in my comfort zone. The instructors not only got down and dirty with the technical aspects of the algorithms, they preceded each practical coding session with multiple lectures with great explanations and well thought out visualizations.