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
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5 assignments
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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.
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10 videos2 readings2 assignments
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Erasmus University Rotterdam
University of Toronto
Birla Institute of Technology & Science, Pilani
Alberta Machine Intelligence Institute
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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
Reviewed on Mar 5, 2020
The tutorial videos were concise while delivering the essential material. The speakers were also engaging and it was a joy to watch them. Overall fairly satisfied with the course.
Reviewed on Jun 8, 2022
It's a crisp overview, concise and informative. Week-4 alludes to the power of genomic technologies; and also the pitfalls, if statistics and its adoption is not done right.
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