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Avis et commentaires pour d'étudiants pour Introduction to Genomic Technologies par Université Johns-Hopkins

3,629 évaluations
571 avis

À propos du cours

This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed. This is the first course in the Genomic Data Science Specialization....

Meilleurs avis

27 mai 2020

It was well taught. I liked the fact the two professors focused on two different subjects- biology and statistics portion of this course. The paragraphs written below each video was extremely helpful.

20 nov. 2017

Relatively nice introduction course, contents are maybe rather limited, yet as an instructive course, it does provide a clear overview which correlates well with the required answers for the quizzes!

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376 - 400 sur 569 Avis pour Introduction to Genomic Technologies

par Suryavathi

6 oct. 2021


par Mona A A

6 août 2020


par 18B202 A

9 juil. 2020


par Apurbo M D

5 juin 2020



13 mai 2020


par Nandamuri C j s

16 avr. 2020


par Laban B O

21 nov. 2018



10 nov. 2018



13 août 2018


par Asad Z

27 juin 2020


par Karam A

28 janv. 2021


par Tatiana E Z

4 juin 2018


par Meghana J

17 févr. 2016


par Bianca

25 sept. 2021

Most of the videos are pretty basic, even for someone with a really weak biology background like me (took one intro Bio class in undergrad... 7 or 8 years ago). I was already familiar with the programming stuff and some of the statistics, too, though. I think it might be a nice video course to give to someone with a non-bio background who will be working on a project that's related to genomics, like a graphic designer or a web developer. It could probably help familiarize them with the terms and abbreviations they'll be hearing lobbed about on the regular.

I will say, though, that this course does not really prepare you for the second course in the specialization (the Galaxy course that is apparently being removed this month). I took both at the same time, and really struggled with that one, and am probably not going to bother finishing it, since it will no longer count towards the specialization, anyway. Not sure how well it fits among the other courses, but as a standalone is fine.

par Michael J M

11 mai 2016

A good introduction to the topics and concepts in the field of genomic data science in general as well as the other courses in this specialisation.

I did this course close to the last (6th) being a professional in the Bioscience field for some time and so the first three 'weeks' I pretty much did in a couple of hours with close to full marks (not a boast but a statement: this course will give you the overview I accumulated in the real world; there is nothing esoteric or missing from this course).

The final assessment I found a little quirky compared to the other courses I'd done being a comprehension style 'read a research paper + answer questions' rather than a 'enter the number of X given conditions Y applied to dataset Z' as many of the other course use. Still, celebrate diversity and all that...also I can't think of a better assessment for this entry level / background course.

par Drew O

27 juil. 2021

V​ery great starting place for the specialization. Easy level of difficulty and does not jump straight in to the nitty and gritty. Easy for me because: 1) I have a MS in Biological Sciences and work in functional genomics. However, This course really added in the importance of "good statistics" in genomics. In addition, I am excited to not only learn more about bioinformatical methods, but also become more engaged in the data science behind it all.

A​ll in all, I think this is a great beginner course for all kinds of students or post-graduate individuals that want to keep on learning and maintain skill sets that are not only great for staying up-to-date, but also putting ourselves in better positions for the future.

par Ana F

16 nov. 2017

The first three weeks were too easy, then Jeff Leek introduced a bunch of Statistical Concepts at once. I think I would rather have spent more time taking an overview of the field and what the certificate has to offer in application to my job as a biologist/learning bioinformatics.

The project at the end reminded me of evaluating scientific papers in college. Very useful, but out of context I thought. I think I would like to have more of a refresher in certain concepts in advanced genetics prior to being quizzed on them through a project.

Overall, it was a good course, but someone without a background in biology will certainly struggle with it

par Sanjay V

13 oct. 2020

I am completely new to Genomics but with some technical background in statistics and computer tools etc. This is a good course to step into the world of Computational biology and get some understanding of tools involved. I had to do lot of side reading on sequencing technology and Gene science. If you dont have this background, this course is a exercise in button pushing. I wish the instructors emphasise this and suggest on-line refernces(beginner friendly) to get the necessary background. In the end, it was a positive experience for me to understand the Galaxy tools and what they are capable of.

par Sabrina S

26 nov. 2016

The entire course took me about 8 hours to complete. The videos are on average around 10 minutes long. The first two weeks of the course were very introductory and had they stayed that way I would have been disappointed (however they were focused on my specialization). Week 3 and 4 made it worth it for me and were very helpful (computing technology and statistics). I thought the course project could have been better. I didn't feel it was a strong overview of what I learned about the course. Either way, I'm glad I went through the entire thing.

par Emilia M

24 juil. 2021

The content in this course is very interesting and valuable. For someone with background in biology-related fields, most of this will be known already and can be seen as a refreshment. For people who aren't in biology fields, this content is great as an introduction to basic biological technologies. The only downside for me is that the content hasn't been updated in a long time. This can be an issue, because in science everything changes very rapidly as new things get discovered. The paper for the final project is from 20 (!!) years ago.

par Natasa J

22 août 2016

This course is great for people like me, who know almost nothing about the topic, lectures are good, points are clear, understandable and not too long. Only thing I actually didn't like is amount of lectures. The course is planned to be completed in 4 weeks and for me it was over in few days. I would like to add that I've listened the lectures from work and spent 1-2 hours a day on it. All in all, I'm glad that I've started from here and plan to continue with the rest of the specialization.

par Jen M

10 juil. 2017

Overall a good intro course. Molecular biology basics were covered so quickly and with terms and concepts pulled almost out of thin air, anyone without a pretty substantial background would probably be lost fairly quickly. And those of us with a genetics background fairly bored until we got to the later weeks. Still as a course designed to get everyone on the same page for the rest of the Specialization, I feel ready for the next course.

par Deni

28 nov. 2016

I appreciated how the instructors presented the content in a fluid and limpid manner, with relevant examples and auxillary knowledge that you couldn't find in a textbook. The assignments provided the opportunity to apply the learned content to analyse and parse statistical data from actual journals.

The new and up-to-date knowledge I gained by taking this course made me more confident to apply to graduate school.

Thank You

par Nils W

30 mars 2020

The four modules of the course are well suited for an introduction. For graduates in biology the questions might be a bit too easy (especially considering you can take the test again after reviewing the lectures).

The last part with the genomics paper might be too hard because it includes some genetics concepts that have never been talked about in the lectures.

par Brandon W

26 juin 2018

I think this is a great introductory course to genomic data analysis. however, the primer of molecular biology and techniques could be more detailed. It also helps to have some prior knowledge in this area to really understand the details and complexities. Looking forward to the other classes though. It was refreshing to jog my memory on many of these things!