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Online Course

Introduction to Genomic Technologies

Johns Hopkins University via Coursera

Overview

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.

Syllabus

Overview
-In this Module, you can expect to study topics of "Just enough molecular biology", "The genome", "Writing a DNA sequence", "Central dogma", "Transcription", "Translation", and "DNA structure and modifications".

Measurement Technology
-In this module, you'll learn about polymerase chain reaction, next generation sequencing, and applications of sequencing.

Computing Technology
-The lectures for this module cover a few basic topics in computing technology. We'll go over the foundations of computer science, algorithms, memory and data structures, efficiency, software engineering, and computational biology software.

Data Science Technology
-In this module on Data Science Technology, we'll be covering quite a lot of information about how to handle the data produced during the sequencing process. We'll cover reproducibility, analysis, statistics, question types, the central dogma of inference, analysis code, testing, prediction, variation, experimental design, confounding, power, sample size, correlation, causation, and degrees of freedom.

Taught by

Steven Salzberg, Jeff Leek and James Taylor

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Reviews

2.7 rating, based on 11 reviews

Start your review of Introduction to Genomic Technologies

  • Brandt completed this course, spending 1 hours a week on it and found the course difficulty to be very easy.

    This is the first course in the new (at the time of this writing) Genomic Data Science specialization, offered by Johns Hopkins through Coursera. This course is similar to the Data Scientist’s Toolbox course which leads off the Data Science specialization...
  • Adelyne completed this course, spending 3 hours a week on it and found the course difficulty to be easy.

    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. Jeff Leek has shown through the Data Science specialisation that he is an effective MOOC instructor and this course is no different, well organised and sets a good foundation for what I hope are other equally wonderful courses in this specialisation (I am not signed up for the specialisation, but intend to take all courses in the series) which I am very much looking forward to!
  • Laura completed this course, spending 2 hours a week on it and found the course difficulty to be easy.

    This course covers topics very superficially. Hopefully the next courses in the specialization go more in-depth. I did learn some things, but most of the stuff covered was very basic.
  • Ben completed this course, spending 8 hours a week on it and found the course difficulty to be medium.

    This is a good course and it will be smooth sailing I'f you have done biology, molecular biology degree or related. The requirements point out what you need appropriately.
  • Anonymous

    Anonymous completed this course.

    Watery abomination. A random and superficial review of some technologies that in the end does not leave anything in your head. Don't take it.
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