Title
Perceptual Issues In The Recovery And Visualisation Of Integrated Systems Biology Data
Abstract
The systems approach to biological research emphasises understanding of complete biological systems, rather than a reductionist focus on tightly defined component parts. Systems biology is naturally interdisciplinary; research groups active in this area typically contain experimental and theoretical biologists, mathematicians, statisticians, computer scientists and engineers. A wide range of tools are used to generate a variety of data types which must be integrated, presented to and analysed by researchers from any and all of the contributing disciplines. The goal here is to create predictive models of the system of interest; the models produced must also be analysed, and in the context of the data from which they were generated. Effective, integrated data and model visualisation methods are crucial if scientifically-appropriate judgments are to be made.The Nottingham Centre for Plant Integrative Biology (CPIB) takes a systems approach to the study of the root of the model plant Arabidopsis Thaliana. A rich mixture of data types, many extracted via automatic analysis of individual and time-ordered sequences of standard CCD and confocal laser microscope images, is used to create models of different aspects of the growth of the Arabidopsis root. This talk briefly reviews the data sets and flow of information within CPIB, and discuss issues raised by the need to interpret images of the Arabidopsis root and integrate and present the resulting data and models to an interdisciplinary audience.
Year
DOI
Venue
2011
10.1117/12.882104
HUMAN VISION AND ELECTRONIC IMAGING XVI
Keywords
Field
DocType
plant systems biology, visualization
Information flow (information theory),Data set,Visualization,Computer science,Optics,Systems biology,Reductionism,Data type,Integrated systems,Perception
Conference
Volume
ISSN
Citations 
7865
0277-786X
0
PageRank 
References 
Authors
0.34
0
1
Name
Order
Citations
PageRank
Tony P. Pridmore114340.24