PointCloudXplore
PointCloudXplore provides interactive visualization and analysis of three-dimensional gene expression patterns at cellular resolution in early Drosophila embryos to support investigation of gene regulatory networks and positional information.
Key Features:
- Interactive visualization and cellular resolution: Enables interactive exploration of three-dimensional gene expression data at cellular resolution in early Drosophila embryos.
- Physical Views: Renders spatial relationships of cells in a three-dimensional context reflecting the actual physical arrangement within the embryo.
- Abstract Views: Plots expression levels of multiple genes relative to each other while discarding spatial coordinates to examine inter-gene expression relationships.
- Cell Selectors and linking: Allows highlighting of specific subsets of embryo cells and links those selections across multiple representations.
- Analytical focus: Supports analysis of spatial patterns of gene expression and interrelationships between expression levels of multiple genes.
Scientific Applications:
- Three-dimensional gene expression analysis: Analysis of three-dimensional gene expression patterns in early Drosophila embryos at cellular resolution.
- Gene regulatory network investigation: Investigation of gene regulatory networks that govern embryonic development in Drosophila.
- Positional information characterization: Characterization of positional information provided by gene expression within the embryo.
- Hypothesis generation: Generation of new biological hypotheses through visual exploration and comparative analysis of gene expression patterns.
Methodology:
Employs established visualization techniques to produce Physical Views (spatial 3D representations), Abstract Views (multi-gene expression plots), and Cell Selectors with linking across views.
Topics
Details
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Weber GH, Malik J, Biggin MD, Hamann B, Rubel O, Huang M, DePace AH, Fowlkes CC, Keranen SV, Luengo Hendriks CL, Hagen H, Knowles DW. Visual Exploration of Three-Dimensional Gene Expression Using Physical Views and Linked Abstract Views. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2009;6(2):296-309. doi:10.1109/tcbb.2007.70249. PMID:19407353. PMCID:PMC3045837.