Results show that for a better fit with scientists' cognition for exploratory analysis systems biology tools need to better match scientists' processes for validating, for making a transition from classification to model-based reasoning, and for engaging in causal mental modelling. But for several of scientists' more complex, higher order ways of knowing and reasoning the tools did not offer adequate support. Findings reveal patterns in scientists' exploratory and explanatory analysis and reveal that tools positively supported a number of well-structured query and analysis tasks. Researchers interacted with the same protein-protein interaction tools to discover possible disease mechanisms for further experimentation.
To better understand design requirements for gaining these causal insights in systems biology analyses a longitudinal field study of 15 biomedical researchers was conducted.
Supporting cognition in systems biology analysis: findings on users' processes and design implications.Ĭurrent usability studies of bioinformatics tools suggest that tools for exploratory analysis support some tasks related to finding relationships of interest but not the deep causal insights necessary for formulating plausible and credible hypotheses.
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