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Researcher's guide to DNA sequencing data

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Researcher's guide to DNA sequencing data

This course is part of Researcher's Guide to Omic Data Specialization

Instructor: Candace Savonen, MS

Included with

Learn more

7 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

7 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

You will be able to understand the goals and general workflows of DNA based methods and know tools and resources you should consider.

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

13 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Researcher's Guide to Omic Data Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 7 modules in this course

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.

Module details

In this module we discuss what this course covers and encourage you to make your own goals for what you'd like to learn. Then we start with some generalities about DNA focused methods.

What's included

3 videos3 readings2 assignments1 discussion prompt

In this module we cover the details of whole genome sequencing and whole exome sequencing. We compare and contrast the methods and discuss what kinds of questions these data types might answer.

What's included

2 readings2 assignments1 discussion prompt

In this section we dive into DNA methylation sequencing methods, also known more specifically as bisulfite sequencing.

What's included

2 readings2 assignments1 discussion prompt

In this section we cover the basics of chromatin evaluation methods. We contrast and compare chromatin sequencing methods.

What's included

1 video2 readings2 assignments1 discussion prompt

In this module, we discuss details of the different ways chromatin can be assessed. We go through the basics of ATAC-seq, and scRNA-seq.

What's included

2 videos3 readings2 assignments

In this section we cover the basics of ChIP-seq and CUT & Tag and CUT & RUN.

What's included

1 video4 readings2 assignments

In this section, In this module we discuss when microarrays should be used for assaying DNA instead of sequencing methods. and then we will wrap up this course with a final quiz to assess your absorption of the material. We also point you to our Tool Glossary that has a list of tools you may want to consider for your next steps of your DNA omics study.