Johns Hopkins University - Introduction to Genomic Technologies
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- Public/Government Institute
Introduction to Genomic Technologies at Coursera Overview
Duration | 6 hours |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
- Overview
- Highlights
- Course Details
- Curriculum
Introduction to Genomic Technologies at Coursera Highlights
- 30% started a new career after completing these courses.
- 24% got a tangible career benefit from this course.
- Earn a certificate from the Johns Hopkins University upon completion of course.
Introduction to Genomic Technologies at Coursera Course details
- 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.
Introduction to Genomic Technologies at Coursera Curriculum
Overview
Why Genomics?
What Is Genomics?
What Is Genomic Data Science?
Just Enough Cell Biology
Important Molecules in Molecular Biology
The Human Genome Project
Molecular Biology Structures
From Genes to Phenotypes
Syllabus
Pre-Course Survey
Quiz 1: Overview and Molecular Biology
Measurement Technology
Polymerase Chain Reaction
Next Generation Sequencing
Applications of Sequencing
Quiz 2: Measurement Technology
Computing Technology
What Is Computer Science?
Algorithms
Memory and Data Structures
Efficiency
Software Engineering
What is Computational Biology Software
Quiz 3: Computing Technology
Data Science Technology
Why Care About Statistics?
What Went Wrong?
The Central Dogma of Statistics
Data Sharing Plans
Getting Help with Statistics
Plotting Your Data
Sample Size and Variability
Statistical Significance
Multiple Testing
Study Design, Batch Effects, and Confounding
Course Project Instructions and Reading
Post-Course Survey
Quiz 4: Data Science Technology
Course Project
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