Visualizing Cells and their Connectivity Graphs for CompuCell3D

Paper
Randy Heiland, Maciek Swat, James Sluka, Benjamin Zaitlen, Abbas Shirinifard, Gilberto Thomas, Andrew Lumsdaine, James Glazier

Developing models that simulate the behavior of different types of interacting biological cells can be a very time consuming and error prone task. CompuCell3D is an open source application that addresses this challenge. It provides interactive and customizable visualizations that help a user detect when a model is producing the desired behavior and when it is failing. It also allows for high quality image generation for publications and presentations. CompuCell3D uses the Python programming language which allows for easy extensions. Examples are provided for performing graph analyses of cell connectivity.

BioVis 2012 Information

The New UCSC Cancer Genomics BrowserUser-guided Segmentation of Thoracic Computed Tomography Data for Electrical Impedance Tomography Image ReconstructionVisualization and Exploration of 3D Toponome DataTractography in Context: Multimodal Visualization of Probabilistic Tractograms in Anatomical ContextUsing a Mathematical Graph Framework for Visualization of Inheritance Patterns in Commercial Plant PedigreesExtending The Grammar of Graphics for Biological Data VisualizationcompreheNGSive: A Tool for Exploring Next-Gen Sequencing VariantsMedSavant: Visual Analytics for Genetic Variation DatasetsBulk Synchronous VisualizationGetting Into Visualization of Large Biological Data SetsAracari: exploration of eQTL data through visualizationAn Abstract View of Associations Between Diseases and Developmental Gene SetsCan Adjacency Matrices help in the exploration and understanding of Multi-Omics Data?StratomeX: Enabling Visualization-Driven Cancer Subtype AnalysisGenomeRing: alignment visualization based on SuperGenome coordinatesScalable Interactive Analysis of Retinal Astrocyte NetworksVisual Analysis of Genome-wide Tracts of Homozygosity