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Introduction to Genomic Technologies

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Introduction to Genomic Technologies

This course is part of Genomic Data Science Specialization

Instructors: Steven Salzberg, PhD

128,809 already enrolled

Included with

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4 modules

Gain insight into a topic and learn the fundamentals.

4,870 reviews

6 hours to complete

Flexible schedule

Learn at your own pace

96%

Most learners liked this course

4 modules

Gain insight into a topic and learn the fundamentals.

4,870 reviews

6 hours to complete

Flexible schedule

Learn at your own pace

96%

Most learners liked this course

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

5 assignments

Taught in English

91% of learners achieved a positive career outcome

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This course is part of the Genomic Data Science Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

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Develop job-relevant skills with hands-on projects
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There are 4 modules in 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.

Module details

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".

What's included

8 videos2 readings1 assignment

8 videosTotal 81 minutes

Why Genomics?13 minutes
What Is Genomics?7 minutes
What Is Genomic Data Science?8 minutes
Just Enough Cell Biology9 minutes
Important Molecules in Molecular Biology8 minutes
The Human Genome Project17 minutes
Molecular Biology Structures9 minutes
From Genes to Phenotypes9 minutes

2 readingsTotal 20 minutes

Syllabus10 minutes
Pre-Course Survey10 minutes

1 assignmentTotal 30 minutes

Quiz 1: Overview and Molecular Biology30 minutes

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

What's included

3 videos1 assignment

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.

What's included

6 videos1 assignment

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.

What's included

10 videos2 readings2 assignments

10 videosTotal 55 minutes

Why Care About Statistics?4 minutes
What Went Wrong?5 minutes
The Central Dogma of Statistics4 minutes
Data Sharing Plans4 minutes
Getting Help with Statistics3 minutes
Plotting Your Data5 minutes
Sample Size and Variability8 minutes
Statistical Significance6 minutes
Multiple Testing8 minutes
Study Design, Batch Effects, and Confounding8 minutes

2 readingsTotal 20 minutes

Course Project Instructions and Reading10 minutes
Post-Course Survey10 minutes

2 assignmentsTotal 60 minutes

Quiz 4: Data Science Technology30 minutes
Course Project30 minutes

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Instructors

Instructor ratings

(832 ratings)

Steven Salzberg, PhD

Johns Hopkins University

2 Courses160,315 learners

Offered by

Johns Hopkins University

Learner reviews

5 stars
66.43%
4 stars
26.91%
3 stars
5.07%
2 stars
0.94%
1 star
0.63%

Showing 3 of 4870

Reviewed on Jun 23, 2019

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!

Reviewed on Nov 16, 2019

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

Reviewed on Oct 19, 2025

The course is very informative and straightforward. It allows learners to grasp the basics effectively and highlights the foundational concept needed for the next competencies.

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