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Introduction to Genomic Technologies, Johns Hopkins University

1,336 ratings
238 reviews

About this Course

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....

Top reviews


Nov 21, 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!


Jun 13, 2016

Very good introductory course. It's a lot of material to cover for a newbie, but if you have some background, you will find you progress pretty quickly. Enjoyable, engaging, fun and useful.

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236 Reviews

By Yafremau Nicholas

Dec 13, 2018

It is a good introduction course for people how are getting into genomics or bioinformatics, would recommend for those who are starting in this field, or want to update their information on new technological advancements.

By Poonam Tiwari

Dec 09, 2018

very informative course...

By Seram Anil Singh

Dec 04, 2018

Truly, a wonderful introduction to an interesting course. Got difficulties somewhere especially in the final project article. Will definitely complete the entire specialization. Thanks you to the amazing faculties.


Nov 29, 2018

Increased my curiosity to learn more about genomic data science


Nov 27, 2018

good class, learn a lot!

By Angela A. Holladay, PhD

Nov 25, 2018

It was difficult, especially towards the end. But I dig it! And will keep pushing forward! Thanks!

By Laban Bwire

Nov 21, 2018


By Serimbetov Zhalgas

Nov 20, 2018

Very good introduction to the field of computational genomics. Good overview of how biology, computation and statistics are intertwined to study genome.


Nov 10, 2018


By Paulo Lopez

Nov 07, 2018

It's good. Some parts are the statistics and p-value information.