Learn to use the tools that are available from the Galaxy Project. This is the second course in the Genomic Big Data Science Specialization.
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About this Course
Learner Career Outcomes
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Skills you will gain
Learner Career Outcomes
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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
Introduction
This week, we will present some of the research challenges that motivated the development of the Galaxy framework. We will then introduce Galaxy, describe what the Galaxy framework is, and look at different ways you can use it.
Galaxy 101
In this module and the following modules we will start to use Galaxy to perform different types of analysis.
Working with sequence data
In this module we will be studying sequence data quality control as well as ChIP-Sequence Analysis with MACS.
RNA-seq & Running your own Galaxy
In these final modules, we'll take a look at working with sequence data and RNA-seq and at installing and running your own Galaxy.
Reviews
TOP REVIEWS FROM GENOMIC DATA SCIENCE WITH GALAXY
Highly instructive course on using Galaxy. Gives a very good flavour of the benefits, actual workflows and even a bit of administration in terms of installing your own version or a cloud version.
This was a lot of work and rewarding to complete. The final project was challenging and the forum contributors helped a lot in pointing out good resources or strategies they had used.
Great Course if you are interested in dissecting the genome. Galaxy opens up this invisible world and allows even us little people to explore the world once reserved to only Academia.
Great instructor with clear and thorough understanding of the material. If you don't have any experience with this technology, this course will walk you through it patiently.
About the Genomic Data Science Specialization
With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets. Genomic Data Science is the field that applies statistics and data science to the genome.

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