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.
Offered By
Johns Hopkins UniversityAbout this Course
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Approx. 6 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Serbian, Italian, Vietnamese, German, Russian, English, Spanish
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessSkills you will gain
- Bioinformatics
- Statistics
- Data Science
- Computational Biology
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Approx. 6 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Serbian, Italian, Vietnamese, German, Russian, English, Spanish
Could your company benefit from training employees on in-demand skills?
Try Coursera for Business
Offered by
Johns Hopkins University
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Syllabus - What you will learn from this course
2 hours to complete
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".
2 hours to complete
8 videos (Total 81 min), 2 readings, 1 quiz
1 hour to complete
Measurement Technology
In this module, you'll learn about polymerase chain reaction, next generation sequencing, and applications of sequencing.
1 hour to complete
3 videos (Total 25 min)
1 hour to complete
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.
1 hour to complete
6 videos (Total 39 min)
2 hours to complete
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, analysis code, testing, prediction, variation, experimental design, confounding, power, sample size, correlation, causation, and degrees of freedom.
2 hours to complete
10 videos (Total 55 min), 2 readings, 2 quizzes
Reviews
- 5 stars65.97%
- 4 stars27.30%
- 3 stars5.27%
- 2 stars0.93%
- 1 star0.51%
TOP REVIEWS FROM INTRODUCTION TO GENOMIC TECHNOLOGIES
by KTNov 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
by BSSep 1, 2016
The final project was way more work than any of the other weeks (10 hours!), but it was definitely worth stumbling my way around Galaxy and foreign genomic terms for that long.
by SSMay 27, 2020
It was well taught. I liked the fact the two professors focused on two different subjects- biology and statistics portion of this course. The paragraphs written below each video was extremely helpful.
by EOFeb 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.
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