About 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. This is the first course in the Genomic Data Science Specialization.
Created by: Johns Hopkins University
Taught by: Steven Salzberg, PhD, Professor
Biomedical Engineering, Computer Science, and Biostatistics
Taught by: Jeff Leek, PhD, Associate Professor, Biostatistics
Bloomberg School of Public Health
| Basic Info |
Course 1 of 8 in the
Genomic Data Science Specialization.
|
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
Syllabus
WEEK 1
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".
8 videos, 2 readings
Graded: Quiz 1: Overview and Molecular Biology
WEEK 2
Measurement Technology
In this module, you'll learn about polymerase chain reaction, next generation sequencing, and applications of sequencing.
3 videos
Graded: Quiz 2: Measurement Technology
WEEK 3
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.
6 videos
Graded: Quiz 3: Computing Technology
WEEK 4
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, anal...
10 videos, 2 readings
Graded: Quiz 4: Data Science Technology
Graded: Course Project
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Coursework
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Johns Hopkins University
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Pricing
| Audit | Purchase Course | |
|---|---|---|
| Access to course materials | Available | Available |
| Access to graded materials | Not available | Available |
| Receive a final grade | Not available | Available |
| Earn a shareable Course Certificate | Not available | Available |
Ratings and Reviews
The course is simplified, well informative and educative
Great introduction. Can't wait to move on
An informative and engaging course! Thank you
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Good revision material. Since it is introductory it was really easy but it is good idea to refresh the concepts.