Johns Hopkins University

Introduction to Genomic Technologies

Johns Hopkins University

Introduction to Genomic Technologies

This course is part of Genomic Data Science Specialization

Steven Salzberg, PhD
Jeff Leek, PhD

Instructors: Steven Salzberg, PhD

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127,925 already enrolled

Gain insight into a topic and learn the fundamentals.

4,867 reviews

6 hours to complete
Flexible schedule
Learn at your own pace
96%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.

4,867 reviews

6 hours to complete
Flexible schedule
Learn at your own pace
96%
Most learners liked this course

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Build your subject-matter expertise

This course is part of the Genomic Data Science Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

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

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

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Instructors

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(832 ratings)
Steven Salzberg, PhD
Johns Hopkins University
2 Courses159,224 learners

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Johns Hopkins University

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