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Genomic Data Science with Galaxy

Course Summary

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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    Course Syllabus

    1. The challenge of reproducibility 2. Introduction to the Galaxy platform 3. Working with genomic Intervals 4. Galaxy Workflows 5. Annotation, Sharing, Publishing 6. Sequence Data Quality Control 7. ChIP-seq analysis with MACS 8. RNA-seq mapping and 9. assembly 9. Galaxy on the cloud 10. Installing your own Galaxy

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    Recommended Background

    Prerequisite: Introduction to Sequencing Technologies

    The target audience of this course are individuals in the molecular or computational sciences who want how to learn how to perform basic computational biology. This class is “hands on” and designed to get you started with the tools you need to perform Genomic Data Science. 

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    Course Format

    No more than 2 hours of video lectures, weekly quizzes, and course project.

Course Fee:

Course Type:


Course Status:



1 - 4 hours / week

This course is listed under Data & Information Management and Quality Assurance & Testing Community

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