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

126,076 already enrolled

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4 modules

Gain insight into a topic and learn the fundamentals.

4,857 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.

4,857 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

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Assessments

5 assignments

Taught in English

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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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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.

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 videos Total 81 minutes

Why Genomics? 13 minutes
What Is Genomics? 7 minutes
What Is Genomic Data Science? 8 minutes
Just Enough Cell Biology 9 minutes
Important Molecules in Molecular Biology 8 minutes
The Human Genome Project 17 minutes
Molecular Biology Structures 9 minutes
From Genes to Phenotypes 9 minutes

2 readings Total 20 minutes

Syllabus 10 minutes
Pre-Course Survey 10 minutes

1 assignment Total 30 minutes

Quiz 1: Overview and Molecular Biology 30 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 videos Total 55 minutes

Why Care About Statistics? 4 minutes
What Went Wrong? 5 minutes
The Central Dogma of Statistics 4 minutes
Data Sharing Plans 4 minutes
Getting Help with Statistics 3 minutes
Plotting Your Data 5 minutes
Sample Size and Variability 8 minutes
Statistical Significance 6 minutes
Multiple Testing 8 minutes
Study Design, Batch Effects, and Confounding 8 minutes

2 readings Total 20 minutes

Course Project Instructions and Reading 10 minutes
Post-Course Survey 10 minutes

2 assignments Total 60 minutes

Quiz 4: Data Science Technology 30 minutes
Course Project 30 minutes

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Instructors

Instructor ratings

(832 ratings)

Steven Salzberg, PhD

Johns Hopkins University

2 Courses 156,933 learners

Offered by

Johns Hopkins University

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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 Jun 12, 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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To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

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Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.