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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Informações sobre o curso
Habilidades que você terá
- Bioinformatics
- Statistics
- Data Science
- Computational Biology
oferecido por

Universidade Johns Hopkins
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.
Programa - O que você aprenderá com este curso
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".
Measurement Technology
In this module, you'll learn about polymerase chain reaction, next generation sequencing, and applications of sequencing.
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.
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.
Avaliações
- 5 stars66,20%
- 4 stars27,09%
- 3 stars5,23%
- 2 stars0,93%
- 1 star0,52%
Principais avaliações do INTRODUÇÃO À TECNOLOGIA GENÔMICA
The course very well primes you for what's to come. The examples and questions are highly relevant to what is done in the field, and addresses good data science practices.
Thanks to everyone who made this. Such can wait to start the second course. h a superb course; it started slowly and sort of an easy thing, but the last lecture was phenomenal
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.
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.
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