The course is intended for students in the biomedical sciences and researchers who have been given data and don鈥檛 know what to do with it or would like an overview of the different genomic data types that are out there. This course is written for individuals who: - Have genomic data and don鈥檛 know what to do with it. - Want a basic overview of genomic data types. - Want to find resources for processing and interpreting genomics data. Goal of this course: Equip learners with tutorials and resources so they can understand and interpret their genomic data in a way that helps them meet their goals and handle the data properly. This includes helping learners formulate questions they will need to ask others about their data What is not the goal Teach learners about choosing parameters or about the ins and outs of every genomic tool they might be interested in. This course is meant to connect people to other resources that will help them with the specifics of their genomic data and help learners have more efficient and fruitful discussions about their data with bioinformatic experts. The course is intended for students in the biomedical sciences who have been given data and don鈥檛 know what to do with it or would like an overview of the different genomic data types that are out there.
Summary: Considerations for choosing tools
Loading...
Skills You'll Learn
Molecular Biology, Data Quality, Exploratory Data Analysis, Data Analysis, Data Validation, Metadata Management, Data Processing, Bioinformatics, Data Literacy, Scientific Methods, R Programming
Reviews
3.8 (12 ratings)
- 5 stars41.66%
- 4 stars16.66%
- 3 stars25%
- 2 stars16.66%
From the lesson
Considerations for omic projects
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?
Taught By
Candace Savonen, MS
Data Scientist