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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

Developing an online programme in computational biology.

Heather M Vincent¹, Christopher Page

¹Faculty of Life Sciences, University of Manchester, Manchester M13 9PT, UK. heather.vincent@manchester.ac.uk.

Briefings in Bioinformatics

|September 19, 2012

Summary

This summary is machine-generated.

This study details an online program combining short courses for life and computer scientists to manage biological data. The flexible online format meets participant needs but challenges traditional university structures.

Keywords:

bioinformatics courses computational biology distance learning online Masters professional development training

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Area of Science:

Bioinformatics
Computational Biology
Life Sciences Education

Background:

Increasing volume and complexity of biological data necessitate new skills for scientists.
Existing training programs may not adequately address the interdisciplinary needs of life and computer scientists.
Need for accessible and flexible continuing education in data management and analysis.

Purpose of the Study:

To describe the development of a novel online educational program for biological data management.
To offer a flexible learning pathway combining short courses towards a formal qualification.
To address the challenges of integrating such programs within traditional academic institutions.

Main Methods:

Development of a modular online curriculum.
Integration of short training courses into a structured qualification framework.
Exploration of pedagogical approaches for interdisciplinary data science education.

Main Results:

Successful creation of a flexible online program for biological data training.
Demonstration of a pathway for participants to achieve formal qualifications.
Identification of organizational challenges for campus-based universities offering such programs.

Conclusions:

Flexible online programs can effectively train life and computer scientists in biological data management.
The modular approach accommodates diverse learner needs and career stages.
Adapting university structures is crucial for supporting innovative, interdisciplinary educational initiatives.