MorphoNet
MorphoNet visualizes and analyzes complex 3D morphological datasets to integrate quantitative geometric and gene expression data for developmental and evolutionary studies.
Key Features:
- Interactive Visualization: Supports interactive visualization and exploration of complex 3D image datasets.
- Broad Data Compatibility: Accepts natural or simulated morphological data from imaging technologies such as live light sheet microscopy and X-ray tomography and can project quantitative geometric or genetic data onto these datasets.
- Integration with Genetic Data: Integrates gene expression profiles and anatomical ontologies and links with external databases such as ANISEED for spatial and temporal (4D) mapping of anatomical territories.
Scientific Applications:
- Research in Biology: Enables examination of morphological changes and morphogenetic processes across scales to support developmental biology and evolutionary research.
- Educational Use: Supports visual exploration of large-scale morphological and gene expression datasets for teaching concepts in development and evolution.
Methodology:
Implements a web-based morphodynamic browser concept for visualization of complex image datasets, integrates with external databases such as ANISEED, and provides 4D mapping of gene expression profiles and anatomical territories to accommodate large-scale imaging data.
Topics
Details
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- api, command-line tool, desktop application, plugin, web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python, C#, JavaScript
- Added:
- 9/25/2023
- Last Updated:
- 9/26/2023
Operations
Publications
Leggio B, Laussu J, Carlier A, Godin C, Lemaire P, Faure E. MorphoNet: an interactive online morphological browser to explore complex multi-scale data. Nature Communications. 2019;10(1). doi:10.1038/s41467-019-10668-1. PMID:31249294. PMCID:PMC6597584.
Dardaillon J, Dauga D, Simion P, Faure E, Onuma TA, DeBiasse MB, Louis A, Nitta KR, Naville M, Besnardeau L, Reeves W, Wang K, Fagotto M, Guéroult-Bellone M, Fujiwara S, Dumollard R, Veeman M, Volff J, Roest Crollius H, Douzery E, Ryan JF, Davidson B, Nishida H, Dantec C, Lemaire P. ANISEED 2019: 4D exploration of genetic data for an extended range of tunicates. Nucleic Acids Research. 2019. doi:10.1093/nar/gkz955. PMID:31680137. PMCID:PMC7145539.
Documentation
Downloads
- API specificationhttps://morphonet.org/helpfiles/API/index.html
- Downloads pagehttps://morphonet.org/downloads