Researcher's guide to DNA sequencing data

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

Instructor: Candace Savonen, MS

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

  •   Science and Research
  •   Bioinformatics
  •   Molecular Biology
  •   Analysis
  •   Exploratory Data Analysis
  •   Research Methodologies
  •   Research Design
  •   Data Collection
  •   Data Processing

    • There are 7 modules in this course

    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.

    WGS and WXS

    DNA Methylation

    Overview of Chromatin

    Chromatin Methods part 1

    Chromatin Methods part 2

    Microarrays and Wrapping Up

    Explore more from Data Analysis

    Researcher's guide to RNA sequencing data

    Introduction to Genomic Technologies

    Algorithms for DNA Sequencing

    Genomic Data Science

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