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Usability of navigation tools in software for browsing genetic sequences

Research Archive

Usability of navigation tools in software for browsing genetic sequences

Rutherford, Paul
Type: Thesis
Permalink: https://hdl.handle.net/10182/948
Originally published: 2008 by Lincoln University
Keywords: bioinformatics; deoxyribonucleic acid; usability; user interface; navigation; browsing; panning; zooming; user-centred design

Abstract:

Software to display and analyse DNA sequences is a crucial tool for bioinformatics research. The data of a DNA sequence has a relatively simple format but the length and sheer volume of data can create difficulties in navigation while maintaining overall context. This is one reason that current bioinformatics applications can be difficult to use. This research examines techniques for navigating through large single DNA sequences and their annotations. Navigation in DNA sequences is considered here in terms of the navigational activities: exploration, wayfinding and identifying objects. A process incorporating user-centred design was used to create prototypes involving panning and zooming of DNA sequences. This approach included a questionnaire to define the target users and their goals, an examination of existing bioinformatics applications to identify navigation designs, a heuristic evaluation of those designs, and a usability study of prototypes. Three designs for panning and five designs for zooming were selected for development. During usability testing, users were asked to perform common navigational activities using each of the designs. The “Connected View” design was found to be the most usable for panning while the “Zoom Slider” design was best for zooming and most useful zooming tool for tasks involving browsing. For some tasks the ability to zoom was unnecessary. The research provides important insights into the expectations that researchers have of bioinformatics applications and suitable methods for designing for that audience. The outcomes of this type of research can be used to help improve bioinformatics applications so that they will be truly usable by researchers.

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