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ABSTRACT
During animal development, complex patterns of gene expression provide positional information within the embryo. To better understand the underlying gene regulatory networks, the Berkeley Drosophila Transcription Network Project (BDTNP) has developed methods that support quantitative computational analysis of three-dimensional (3D) gene expression in early Drosophila embryos at cellular resolution. We introduce PointCloudXplore (PCX), an interactive visualization tool that supports visual exploration of relationships between different genes' expression using a combination of established visualization techniques. Two aspects of gene expression are of particular interest: 1) gene expression patterns defined by the spatial locations of cells expressing a gene and 2) relationships between the expression levels of multiple genes. PCX provides users with two corresponding classes of data views: 1) Physical Views based on the spatial relationships of cells in the embryo and 2) Abstract Views that discard spatial information and plot expression levels of multiple genes with respect to each other. Cell Selectors highlight data associated with subsets of embryo cells within a View. Using linking, these selected cells can be viewed in multiple representations. We describe PCX as a 3D gene expression visualization tool and provide examples of how it has been used by BDTNP biologists to generate new hypotheses.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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INDEX TERMS
Primary Classification:
J.
Computer Applications
J.3
LIFE AND MEDICAL SCIENCES
Additional Classification:
F.
Theory of Computation
F.2
ANALYSIS OF ALGORITHMS AND PROBLEM COMPLEXITY
F.2.2
Nonnumerical Algorithms and Problems
H.
Information Systems
H.5
INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.2
User Interfaces (D.2.2, H.1.2, I.3.6)
Subjects:
Graphical user interfaces (GUI)
I.
Computing Methodologies
I.5
PATTERN RECOGNITION
I.5.2
Design Methodology
I.6
SIMULATION AND MODELING
I.6.4
Model Validation and Analysis
I.6.5
Model Development
Subjects:
Modeling methodologies
General Terms:
Algorithms,
Design,
Performance,
Theory
Keywords:
Interactive data exploration,
three-dimensional gene expression,
spatial expression patterns,
information visualization,
visualization,
physical views,
multiple linked views,
brushing,
scatter plots.
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