The course is intended for students in the biomedical sciences and researchers who have been given data and don’t know what to do with it or would like an overview of the different genomic data types that are out there.
Researcher's guide to omic fundamentals
Ce cours fait partie de Spécialisation Researcher's Guide to Omic Data
Instructeur : Candace Savonen, MS
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Ce que vous apprendrez
By the end of the course you will confidently be able to use tutorials and resources to understand and interpret your genomic data.
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Il y a 5 modules dans ce cours
In this module, we cover the basics of what will be covered in this course and what you should expect. Next we get into an overview of what omic data types and their workflows often look like.
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3 vidéos3 lectures2 devoirs1 sujet de discussion
In this module, we cover some considerations for how to choose between different omics tools. Then we talk about what is metadata and how do you make sure you get the most of your metadata?
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2 vidéos2 lectures4 devoirs2 sujets de discussion
In this module, we build on the previous module's generalities about omic data and get into specifics about sequencing data and microarray data.
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2 vidéos2 lectures4 devoirs
In this module, we discuss what are general data analysis tools you may want to consider using. Lastly we cover some basics about annotation that are involved in every omic data analysis workflow.
Inclus
1 vidéo3 lectures4 devoirs
Now that you've learned some fundamentals about omic data, in this section we have a final quiz that tests your absorption of what we've discussed. We also have a Tool Glossary of recommended tools you may want to consider using for your next steps with your omic data.
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1 vidéo2 lectures1 devoir
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Johns Hopkins University
Johns Hopkins University
University of California, Davis
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