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Avis et commentaires pour l'étudiant pour Introduction to Genomic Technologies par Université Johns-Hopkins

4.5
1,859 notes
294 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

KK

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!

GH

Oct 06, 2019

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.

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101 - 125 sur 290 Examens pour Introduction to Genomic Technologies

par Ziying K

Jan 16, 2018

good!

par Ryan M

Sep 28, 2017

Great intro to biotech even for CS/Math people!

par Manuel C

May 19, 2018

Lets talk about real life BIG DATA. Ja.

par Zhikuan Q

May 28, 2018

A good introduction to Genomic Technologies including molecular biology, computer science and statistics.

par Andreea N

Oct 10, 2017

Excellent overview. Goes by quickly. Engaging. Thoughtful quizzes.

par Hsiao-Chi L

Aug 06, 2017

Nice module!!! I've learnt a lot!!

I love the instructors so much, they not only taught us the knowledge clearly but explained them in plain English.

Thanks!

par 青裳

Oct 28, 2016

从这门课我学到了好多,谢谢

par Logan B

Feb 23, 2018

This is a great course that covers a lot of ground very quickly, including an overview of the central dogma of biology, mitosis and meiosis, and basic concepts in computer science and statistics. The lessons are clear, understandable, move at a good pace, and are full of practical examples applying concepts to actual problems in genomic data science. This class was a great starting point for the specialization and I highly recommend it.

par annet k

Dec 05, 2017

I like that all concepts are explained with relevant examples. It was easy for me to grasp the content.

par Manasi l

Mar 02, 2018

the math part was a bit hard but i loved the course!! it was really helpful and i could understand it even though i am a high school student

par Deepali R

Jun 01, 2018

It was a simple and nice course. very useful for me to brush up my knowledge

par Marwa H

Mar 12, 2018

it was a great introduction, covering many aspects

par Chris F

Dec 08, 2017

Good intro

par J'aime M

Nov 27, 2016

I have significant background in this material. I enjoyed the presentation style and felt the quizzes and assignment were well matched to the material.

par Mehul B

Dec 23, 2016

Good introductory course.

par msttsm

Mar 23, 2017

It's a such useful and informative course!

par 杜明宇

Aug 06, 2017

PERFECT!

par Elizabeth L R

Feb 15, 2018

This course was a good introduction to this subject.

par Emese B

May 16, 2016

I enjoyed the course.

par Sadiya A

May 02, 2017

It was a really good overview to step into the field.

par Flores A

Oct 27, 2016

Great introduction to the topic of Genomics. Wonderful concised and easy to understand lectures.

par Mladen R

Dec 26, 2016

It was a really good course for introduction with the genomics and all related to it. I like that the course can be attended without paying the fee, unlike some others in this Specialization. Keep up the good work!

par Ellis K P

Nov 15, 2016

Great course!

par Matthew K

Feb 17, 2016

Great course!

par Miranda D

Jun 29, 2017

Explains genomic technologies and important statistical tools needed to effectively start more in depth study. Highly recommend especially if you are already familiar with biology and/or computer science but want to specialize in genomics.