Steven Salzberg, PhD
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. The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life–long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Instructor Details
Courses : 1
Specification: Introduction to Genomic Technologies
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58 reviews for Introduction to Genomic Technologies
Add a review
| Price | Free |
|---|---|
| Provider | |
| Duration | 8 hours |
| Year | 2016 |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
FREE
Israa S S –
Great way of delivering information.
Heather R –
Wish it was a bit more challenging for those of us in scientific research, but I understand the need to be broadly applicable. Enjoyed it and learned a lot.
Aditi B –
It was highly informative, engaging and as this is a field that I wish to pursue in the future, it was a treat for me. Thank you.
Omar R –
As a clinical scientist, the course gives you a taste of the field in a way that you have not thought of before. The final project was a bit challenging and daunting! Overall, the professors presented the material in a way that is easy to understand and follow up with.
Dustin –
A nice introduction and the project is good for the beginners like me to start off the genomic tech readings.
Talha I –
This is my first course in Genomic Technologies (and one I completed overall). I was taking this course bit lightly for being the introductory/basic course but I have learnt a number of new things: Introduction to some stats terms I overlooked/haven’t learnt before like p–test and confounders, the incredible example of data–counterfeiting in the academia and how PCR and next–gen sequencing technologies work. Although I couldn’t learn in depth, which is obvious since its first of the 8 course specialization, so I am anxious to take the next course – this specialization is looking very exciting.
Felix D –
I found the course to be very clear and informative. I believe the molecular biology aspect was easy enough for someone without a background in biology or biochemistry to understand. Also, the computer science and statistical aspects were also explained in a clear way.
May K –
Moves too fast, but excellent content and information. Very engaging!
Siwakorn P –
Very good introduction.
Jacob K –
It seemed a little too easy, especially for the timeline given. Seemed like there should have been more information, or have gone more in–depth
Dina A M A –
good
Robert D –
Good class but incredibly basic. Needs to go a bit more in depth. Feels rushed.
Omnia G –
Good course in introducing main concepts of specialization.
Yasar A –
Have tried a few other courses around introduction to genomic technologies but this is the best structured course I have taken. Loved the course project as it gives a good insight on how to read scientific papers and what is expected from a genomic scientist. The only point would be to improve the statistics content(week 4) and make it more beginner friendly especially when it comes to p–values.
Cliff S –
Fantastic course from two true authorities in the field. Great examples, and I was surprisingly enthralled by the statistical section; turns out I just never had the right teacher!
Kyle C –
Good beginner course to introduce genomics
Katherine W –
This class was very helpful in introducing me to genomics, and it is definitely a career path I would choose.
Andrea W –
Informative. Provide a good overview of genomic technologies, data science and statistics.
Sherif M –
Excellent introduction
sandeep K –
This course briefs the basics required to understand the role of genomics and importance of statistics in big data analysis. I appreciate the efforts done by instructor to teach this tough course in easy way with good examples.
Bilal M –
Awesome Course to warm up before diving into the detailed courses related to genomic technologies.
Nikita M –
Strong intro. I have a good amount of Data Science experience, so intro lectures generally make me fall asleep. This is the first one I enjoyed. Felt like a good balance of a few key topics from general data science and genomics topics that were new to me.
pasquale –
Very interesting
Ankit N –
Excellent start to the bigger concept.
Melissa M X H –
A very concise but comprehensive overview of what to expect in the Genomic Data Science specialization course.
Cameron P –
Would’ve liked more technical information. more basic than I was expecting
Theodoulakis C –
Good introductory course
Hans W –
Liked the introduction, gives a nice overview, well understandable also for the non–biologist.
Saurabh M –
This course is very well suitable for beginners. I am eagerly waiting to start the next course of the specialization for deeper understanding. Although, this course was very informative.
Monika C –
Introductory course for the subsequent genomic data science courses. The lecturers are smart and their teaching approach is very encouraging.
nutthan n –
I got many new idea with this course. The introduction to the statistic is amazing.
Vernon M –
This course provides great insight into the vast field of bioinformatics.
Leonardo d C B –
Great course
Gregory D H –
This course provides a gentle introduction to the concepts and terminology associated with genomics. As someone who never took a biology course in high school or university, this course is perfect.
Xiaolin H –
Awesome!
sudarshan –
Thank you so much for such a wonderful course. I really got an opportunity to learn genomic technologies from scratch.
GURUCHARAN C –
Excellent course to start Genomic Data Science. Learned a lot!
Khoo L T –
This course had gave me the overview of the statistical analyses for genomic data analysis. This is useful for me as I can employ those statistical Analyses knowledge in the near future
Douglas C –
It would have been much better if we could have found out why our quiz answers were wrong and what the correct answer is supposed to be. Quizzes sometimes seemed unrelated to the material. A “deeper learning” option, were we could read amterial that went beyond the video would have been great.
Ashok K D –
This course have wealth of knowledge, must take course for Genomic Data Scientist
Tianming W –
Get to know useful knowledge even as a senior biologist working with seq data.
ANJALI P –
It was good
Ali B –
The best introduction to genomic ever!
Diana M –
I’ve learned many new things. Coming from the CS / Data Science background, this was a great introduction to biology side of genomics. I’d also recommend to all students in this class an excellent book on the history of genetics and genomic research that was recommended in my Data Science course at Indiana University: “The Gene” by Sidhartha Muherjee. The book is non–technical, but gives a great background knowledge and motivation for further study.
Jia B –
It would be better if professors can speak a little bit more slowly.
Adam Z –
Good intro course!
Michael O S –
Somewhat easy for an introductory course, but good for people without prior background.
Bethany S –
Good intro to genomic data science
Pedro M –
Really awesome course!
Fouzan K –
It was fun, however, the part with the project was toughest and I think I need to be more prepared to handle such tasks
Edson R A d O –
Clear and concise. Ministered by researchers with outstanding background in research, able to translate topics of relatively high complexity into easy language for a broad audience.
Alexander M –
No pain no gain. Thank you for the great insights.
Zachary L –
This first course gives a high level overview of the material to come, and mentions many of the topics I hope to learn about like next generation sequencing and DNA methylation patterns. I’m excited to move towards the next courses that involved diving into some code.
Sindhu K J –
Good lectures with simple explanations,could add more projects
Fernando H –
This is an excellent introductory course, it teaches very complicate concepts in a way that it is easy to understand.
Sarthak k –
Although the content was fab , a more work could be done on the explanation part.
Shiyu Zeng –
I have reviewed the basic knowledges of biology in this lesson. I think it was great to take this class. Thank you so much.
Nils W –
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.