Overview

This specialization is intended for researchers or research enthusiasts of all different levels to help them know what their omic data means and how to learn about it! With an overhwelming abundance of types of data and tools and resources to help with these data types, how do you understand what your data mean and what your next steps should be? This specialization is perfect for folks who have collected data, hope to collect data in the future, or want to know what publicly available omic datasets mean!

Syllabus

Course 1: Researcher's guide to omic fundamentals
Course 2: Researcher's guide to DNA sequencing data
Course 3: Researcher's guide to RNA sequencing data

Courses

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5 hours 30 minutes
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This course is a follow up course to "Researcher's Guide to Fundamentals of Omic Data" which dives into further detail about DNA informatics methods! This course is for individuals who: - Have taken Researcher's Guide to Fundamentals of Omic Data - Have DNA data and don’t know what to do with it. - Want a basic overview of their DNA focused data type. - Want to find resources for processing and interpreting DNA data What this course will cover: - Fundamentals of DNA methods. - Resources you may consider looking into for your own purposes. - Questions you should ask yourself and your colleagues about your goals and experimental design. What this course will NOT cover: - Code needed to process your data. - Details about every type of experimental design. - Everything you’d need to know to make you a computational biologist. In other words we still highly encourage you to consult your informatics and computational colleagues, especially those who may have done any handling of data you are trying to learn about.
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4 hours 20 minutes
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This course is a follow up course to "Choosing genomics tools" which dives into further detail about RNA informatics methods! This course is for individuals who: - Have taken Researcher's Guide to Fundamentals of Omic Data - Have RNA data and don’t know what to do with it. - Want a basic overview of their RNA focused data type. - Want to find resources for processing and interpreting RNA data What this course will cover: - Fundamentals of RNA methods. - Resources you may consider looking into for your own purposes. - Questions you should ask yourself and your colleagues about your goals and experimental design. What this course will NOT cover: - Code needed to process your data. - Details about every type of experimental design. - Everything you’d need to know to make you a computational biologist. In other words we still highly encourage you to consult your informatics and computational colleagues, especially those who may have done any handling of data you are trying to learn about.
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4 hours 22 minutes
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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. This course is written for individuals who: - Have genomic data and don’t 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’t know what to do with it or would like an overview of the different genomic data types that are out there.