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.
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Introduction to Genomic Technologies
This course is part of Genomic Data Science Specialization
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Instructors: Steven Salzberg, PhD
Access provided by New York State Department of Labor
111,865 already enrolled
(4,687 reviews)
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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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Reviewed on Aug 2, 2021
This course gives me a brief introduction into genomics and how technology might help and has helped. The only complain is thatthe quiz are way too easy compared to university level course.
Reviewed on Nov 21, 2017
Relatively nice introduction course, contents are maybe rather limited, yet as an instructive course, it does provide a clear overview which correlates well with the required answers for the quizzes!
Reviewed on Nov 17, 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
Recommended if you're interested in Data Science
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University of California San Diego
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