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Related Experiment Video

Updated: May 18, 2026

A Web Tool for Generating High Quality Machine-readable Biological Pathways

A Web Tool for Generating High Quality Machine-readable Biological Pathways

Published on: February 8, 2017

An online bioinformatics curriculum.

David B Searls¹

¹david.b.searls@gmail.com

Plos Computational Biology

|October 3, 2012

Summary

This summary is machine-generated.

Free online bioinformatics courses are now a reality, offering a comprehensive curriculum through existing video resources. This study curates these materials, assessing their strengths and future potential for accessible bioinformatics education.

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Last Updated: May 18, 2026

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Area of Science:

Bioinformatics and Computational Biology
Online Education
Digital Learning

Background:

Online learning has expanded significantly, with new initiatives aiming to offer free university education.
The availability of free video resources presents an opportunity for accessible bioinformatics training.

Purpose of the Study:

To explore the potential of existing free video resources for comprehensive bioinformatics training.
To present a curated bioinformatics curriculum using open online learning materials.

Main Methods:

Compilation of a virtual course catalog of free online bioinformatics resources.
Editorial commentary on the selected resources.
Assessment of the strengths and weaknesses of open online learning in bioinformatics.

Main Results:

A structured bioinformatics curriculum is presented using freely available video content.
The study identifies key strengths and limitations of current open online learning resources in bioinformatics.
Future directions for open online learning in this field are discussed.

Conclusions:

Comprehensive bioinformatics training is achievable through existing free online video resources.
Open online learning offers a promising avenue for accessible bioinformatics education.
Further development is needed to optimize the structure and content of online bioinformatics curricula.