Introduction to Genomic Technologies
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Introduction to Genomic Technologies
This course is part of Genomic Data Science 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.
This is the first course in the Genomic Data Science Specialization.
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
3 videos•Total 25 minutes
- Polymerase Chain Reaction•8 minutes
- Next Generation Sequencing•8 minutes
- Applications of Sequencing•9 minutes
1 assignment•Total 30 minutes
- Quiz 2: Measurement Technology•30 minutes
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
6 videos•Total 39 minutes
- What Is Computer Science?•5 minutes
- Algorithms•4 minutes
- Memory and Data Structures•7 minutes
- Efficiency•3 minutes
- Software Engineering•8 minutes
- What is Computational Biology Software•11 minutes
1 assignment•Total 30 minutes
- Quiz 3: Computing Technology•30 minutes
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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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.
Reviewed on Feb 13, 2020
Clear and concise. Ministered by researchers with outstanding background in research, able to translate topics of relatively high complexity into easy language for a broad audience.
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
Frequently asked questions
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.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
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.