Authors:
H. V. Byelas
and
M. A. Swertz
Affiliation:
University Medical Center Groningen and University of Groningen, Netherlands
Keyword(s):
Bioinformatics: Workflow Management System, Life Science Workflows, Workflow Visualization.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Bioinformatics
;
Biomedical Engineering
;
Soft Computing
;
Visualization
Abstract:
Bioinformatics analyses are growing in size and complexity. They are often described as workflows, with the workflow specifications also becoming more complex due to the diversity of data, tools, and computational resources involved. A number of workflow management systems (WMS) have been developed recently to help bioinformaticians in their workflow design activities. Many of these WMS visualize workflows as graphs, where the nodes are analysis steps and the edges are interactions and constraints between analysis steps. These graphs usually represent a data flow of the analysis. We know that in software visualization, similar graphs are used to show a data flow in software systems. However, the WMS do not use any widely accepted standards for workflow visualization, particularly not in the bioinformatics domain. As a result, workflows are visualized in different ways in different WMS and workflows describing the same analysis look different in different WMS. Furthermore, the visuali
zation techniques used in WMS for bioinformatics are quite limited. Here, we argue that applying some of the visual analytics methods and techniques used in software field, such as UML (unified modelling language) diagrams combined with quality metrics, can help to enhance understanding and sharing of the workflow, and ease workflow analysis and design activities.
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