This course is mostly just an advertisement for the particular tools created by the CGE. It would have benefited from deeper explanations of the algorithms at many points. It didn't really build skills, though I am certainly more aware of the breadth of their online tools now.

It is basically a commercial for their tools. Not much content to learn.

I quite liked the instructors, but after the first few lessons, the course essentially becomes an advertisement/user manual for their university's (admittedly free) online software tools.

It is totally beneficial course for those who are working in epidemiology, however; I was expected to learn different tools for species and microbial communities identification.

If you are willing to learn about the WGS analysis, this is not the course for you. The course is all about tools developed by DTU and how to use them. There is a very insufficient background given for all tools. A lot of time has been spent on explaining unnecessary details about using tools, like where to put email it! Concepts are not explained properly. I find the course structure very poor. Last but not least, the main instructor of the course has an accent very difficult to comprehend.

A well structured course covering a broad range of topics, and being a part of this course was an amazing learning experience..

Thanks to DTU and Coursera family....

A course which is worthy for a researcher who is involved in whole genome analysis and pathogen identification. The course gives a base to the use of cge website.

Excellent course for the beginners with minimum bioinformatics knowledge to analyse their whole genome sequencing data!!! All the course materials are designed adequately with in-depth discussion and hands-on training on the usage of different tools. It would be helpful to update the course materials based on the current development of the tools. Otherwise, highly recommended tools for gaining the most out of WGS data. Thanks.

Thank you great team from DTU, I get to understand NGS via your detailed explanation and useful demonstration as well as example exercise. Cheers

I am a biology student, who recently started a masters in bioinformatics and have been struggling to try to keep up with the computational aspects and this course was perfect for me. The pacing of the course was really good and the lectures were also well detailed and to the point. I really liked the passion with which Shinny did her lecture segments.

Videos are not comprehensive enough even if one already has some knowledge of that area!

Madam/Sir,

I am a Computer Science Engineer, I am doing research in University of Calcutta in Machine Learning. I have some interest in Bioinformatics. It is not possible for me to grab all the aspect in that subject. So, I am grabbing it in scattered way. The course I have completed in "DTU" has captured a complete different aspect which I haven't seen before. The most important things is that it is a very neat and clean course with a specific direction. All the labs which I have performed here has been well taught in various videos. Though it is not possible for me to understand every parts of all the videos but still it gives me enough knowledge to complete the practicals. I hope it will help me in future run.

I would like to specify just one problem related with the course. Every course in Coursera has "Discussion Forum" corresponding to every week, which I have found missing, as it solves lot of dynamic problem in each week's tutorial. I am sorry if "Discussion Forum" is already there and I have ignored that.

Thanks You very much,

Gourab Das

I am an undergraduate student and have worked with bacteria and have also conducted antimicrobial assays for bacteria (like MIC). Apart from wet-lab, I also wanted to have dry-lab experience in this field. "Whole-genome sequencing of bacterial genomes - tools and applications" by DTU really helped me a lot in understanding the basics of this field and has also introduced me to their user-friendly web-based bioinformatic tools developed and hosted by Centre of Genomic Epidemiology. The course instructors were also very clear in explaining the working of these tools.

First of all I would like to thank coursera and DTU for providing such a good platform where one can learn and get trained in the subjects of ones interest from the leading experts. The course was very informative and I should say that I have learned something new which I was not familiar with, and would surely look forward for more such trainings by DTU team in future. The way of teaching by the DTU team was very nice especially by Dr Pimlapas.

This is a great class presenting a user-friendly web tool CGE pipeline that is ready to help all researches with their bioinformatics data. It can even build phylogenetic trees!

And I loved a small detective game at the end of the course when we needed to process unknown bacteria sequences to see if it was a real outbreak and what antibiotics were able to stop it!

A lot of thanks to the team!

Excellent course, well-planned presentation, very easy to understand. It is really a great learning platform. I Thank you very much to the team for the wonderful presentation and plan. looking for many courses from DTU food. It is really a food of knowledge for everyone. Thank you.

Thank you very much for this course through which i learnt basic handling of bioinformatics tools and concepts of WGS. This will help me a lot while pursuing my PhD research work in my field.

Excellent course with a wealth of information about tools and applications of whole genome sequencing. Presented in a very lucid and interesting manner, very crispy and simplified course.

Muy buen curso para iniciar con el análisis de secuencias masivas de cepas que pudieran estar implicadas en brotes epidemiológicos. Felicidades

Good course for a beginner. Generally, help me understand whole genome sequencing of bacteria. Will follow other course that they have provide.

This is an excellent course, both in itself and as a state-of-the-art follow-up to the DTU's "Antimicrobial resistance - theory and methods" course. This offering truly presents the expertise and the achievements of DTU in the field. The graded activities are interactive and a good review of principles in bioinformatics, using the homegrown free-to-use resources by the institution. Conventional routine microbiologists and academic scientists working in the field should own the relevant skills to generate and handle molecular microbiological data, and this course is a good place to start.

I only just begin taking part in it and all I can say is I am enjoying it even though I am a bit behind schedule and my first attempt was 60%, I will try again and aim high with better understanding. Thank you for the opportunity and the financial aid that was approved for me to attend the course. I am determined to do my best. What I also like is the clear teaching or lecturing manner of all the presenters of the course.

Thank you to the entire DTU team that made this course. It's a very informative course with hands-on work using CGE tools developed. Glad that some aspects of the course are related to my line of study and this brought me even more knowledge to my passion in microbiology. Hoping for more courses from you soon! Thank you very much!

It was a nice experience which i kindly recommend to everyone who is interested in improving their knowledge in microbial genomics, learning to use bioinformatics tools provided by the Center for Genomic Epidemiology but also to interpret the resulting data. Thank you for this amazing experience!

This is a really good course for beginners as it explained the use of some fantastic web-based tools to detect bacterial ST, resistance, plasmid, MLST, and phylogeny. I have learned a lot of new techniques to analyze the whole genome of a bacterium. Thank you for giving me the opportunity.