Course Description

This introductory-level will provide the theoretical foundation of the basic bioinformatics methods, ultimately facilitating the solution of biological problems. The course provides an overview of several important aspects of bioinformatics such as accessing DNA and protein sequences in publicly available databases, aligning sequences for comparison, and building phylogenetic trees. The course combines theoretical sections and practical examples, allowing participants to gain experience using various bioinformatics resources including software packages, tools, and algorithms. An important part of this course is an introduction to relevant open access computational resources and databases.

Learner Outcomes

  • Search and retrieve data from NCBI genome databases: SRA, Genome, Assembly
  • Understand the basics of information theory and its application to genome analysis
  • Construct phylogenetics trees
  • Learn pathogens detection approaches
  • Use gene prediction methods
  • Use gene genome assembly methods
  • Learn examples of bioinformatics application, such as Metagenom


This course applies toward the Bioinformatics Curiosity digital badge.

Textbook Information

Two textbooks are recommended:

1) Bioinformatics: An Introduction (3rd Edition, 2015) by Jeremy Ramsden
    ISBN: 9701814471673  |  $89.99 

2) Essential Bioinformatics (2006) by Jin Xiong  
    ISBN: 9780521600828  |  $107.00

Note: Please remove the textbooks at checkout using the appropriate discounts if you do not wish to purchase them.


This basic course is designed for trainees and interested individuals in the fields of medicine, biology and related fields with little or no experience in bioinformatics. A basic background in biology is recommended to benefit most from the learning.

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Section Title
Theoretical and Applied Bioinformatics: DNA and Proteins
Online Asynchronous
Aug 31, 2022 to Oct 18, 2022
Fee Includes All Costs
Eligible Discounts Can Be Applied at Checkout credit (2 Credits) $971.99
Available for Academic Credit
2 Credit(s)
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