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.

PMCID: PMC6597584
Funding: - Agence Nationale de la Recherche: ANR-11-BINF-0002, ANR-14-CE11-0013

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.

Funding: - Agence Nationale de la Recherche: ANR-10-BINF-01-03, ANR-10-IDEX-0001-02, ANR-10-LABX-54, ANR-13-BSV2-0011-01, ANR-16-CE92-0019 - MEXT: 221S0002 - JSPS: 15H04377, 16K14735, 17KT0023, 18K06256, 19H03234, 24870019, 26650079, 26840079

Documentation

Downloads

Links

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