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Introduction to Genomic Technologies

This course is a part of Genomic Data Science, a 8-course Specialization series from Coursera.

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.
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Johns Hopkins University

Rating 4.3 based on 212 ratings
Length 5 weeks
Starts Jun 29 (last week)
Cost $49
From Johns Hopkins University via Coursera
Instructors Steven Salzberg, PhD, Jeff Leek, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Science Data Analysis Algorithms

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What people are saying

According to other learners, here's what you need to know

genomic technologies in 13 reviews

good! I thoroughly enjoyed this course and look forward to complete the specialization A good introduction to Genomic Technologies.

Mind blowing approach was adopted especially in the conceptual background with extremely useful Bioinformatics, Computational and statistics in the course of Introduction to Genomic Technologies.SUGGESTION: MY PERSONAL HUMBLE REQUEST, Please make also the important components of course material as a part of this Certificate with % AGGREGATE so that it has a much more worth & impact for the courses participated.

Great foundation for Genomic Technologies !

Explains genomic technologies and important statistical tools needed to effectively start more in depth study.

A thorough, yet concise introduction to the specialization and to some of the technical difficulties associate with genomic technologies.

Its called an introduction to genomic technologies and that is basically what it is.

Nice, low commitment class to provide some background to genomic technologies.

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molecular biology in 9 reviews

This is a good course and it will be smooth sailing I'f you have done biology, molecular biology degree or related.

The only negative was, that I found the final exam to be somewhat unrelated to the course.I am also hoping that there will be more references later on if we want or need to go deeper into these three areas, especially in the area of molecular biology.

Mostly, it is an interesting course, although it is very short - if a person knows something about molecular biology, then it is feasible to finish it a couple of hours.

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.

You will need some basic knowledge in molecular biology and statistics in order to better understand video lectures It was a really good overview to step into the field.

I highly recommend this course for everybody who has literally no biological background and would like to learn something about Molecular Biology and Genomics.

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genomic data science in 8 reviews

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.

Very nice basic course so fundamental A good, very brief, overview of genomic data science covering basic molecular biology, techniques, CS and statistics.

Very timely and with sufficient information Good for debutants I think this course was a good introduction to various aspects of genomic data science.

I liked the section on statistics, where a real life example was used to motivate the importance of statistics in genomic data science.

The course is a good introduction into genomic data science, I disliked last week because teacher gave too many unnecessary information.

A great introductory course in genomic data science.

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).

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very basic in 7 reviews

I did learn some things, but most of the stuff covered was very basic.

Some of the videos are very basic if you're a biologist but if you don't know any basic NGS and statistics, it is worth taking this course.

A very basic and general introduction to the subject This course was a good introduction to this subject.

I learn a lot from this course about very basic knowledge and history of development of genomic technologies.

Just a couple of topics are covered at a very basic level.

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computer science in 6 reviews

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

Take this course if you have never heard of biology or computer science or statistics but avoid if you know even a little about these subjects.

Highly recommend especially if you are already familiar with biology and/or computer science but want to specialize in genomics.

The last module and the final paper was a little confuse for whom is not from Biology (I'm from computer science).

Very basic introduction to genomics including both biology knowledge as well as computer science application in genomics.

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other courses in 5 reviews

I have a background in biology and therefore found this course relatively easy, I mainly took it for completeness as I also intend to take the other courses in this series.

Overall I enjoyed the course and it encouraged me to continue taking the other courses of this specialization.

It provides a very good overview of what is to be expected in the other courses while at the same time establishing a good foundation for what is to come.

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.

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Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Research Technologist, Laboratory Automation & Next-Generation Sequencing $37k

Professor of Biology 1 2 $38k

Lecturer - Biology & Marine Biology Department $48k

Core Measure Coordinator $53k

Measure Technician $57k

Biology Teacher 2 $60k

Biology Chair $63k

Warehouse Sequencing Lead $70k

Analyst Biology $81k

Biology $87k

Head of Biology $112k

Distinguished Professor of Biology $519k

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Coursera

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Johns Hopkins University

Rating 4.3 based on 212 ratings
Length 5 weeks
Starts Jun 29 (last week)
Cost $49
From Johns Hopkins University via Coursera
Instructors Steven Salzberg, PhD, Jeff Leek, PhD
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Data Science
Tags Computer Science Data Science Data Analysis Algorithms

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