The C. elegans Connectome Toolbox: an open, extensible framework for multimodal connectomic data integration and analysis
- 1University College London
Abstract
The nematode C. elegans is one of the best studied model organisms in biology. Since the initial description of the C. elegans neuronal connectome by White and colleagues, numerous studies have mapped and analyzed the connectome, and released structured datasets of the connectivity, often merging and adding to previous versions. These datasets now serve as foundational resources that underpin studies into the neuronal basis of C. elegans behavior. In spite of their high utility, heterogeneity in the different datasets and their annotation conventions obscures direct comparison where discrepancies between connectomes frequently stem from differences in coverage or nomenclature rather than genuine biological disagreement. Additionally, datasets describing new connectivity modalities - contact-based (the contactome), extrasynaptic (monoaminergic and neuropeptidergic), and functional connectivity - have also recently become available. Thus, there is a need for a unified framework providing standardized access to these diverse datasets while preserving their individual provenance. Here, we present the C. elegans Connectome Toolbox, a comprehensive framework for consolidating, curating and validating historical and newly published multimodal C. elegans connectivity data. Connectome Toolbox includes an accessible online resource (https://openworm.org/ConnectomeToolbox) for interactive data exploration and is accompanied by a Python library for programmatic access. We demonstrate the utility of the toolbox through a series of analyses that illustrate how connectome data can be explored, visualized, and compared across modalities, including integration of the anatomical connectome with a comprehensive neurotransmitter atlas, and comparison with computational models of C. elegans neural circuits.
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BibTeX
@misc{vickneswaran2026elegans,
title = {{The C. elegans Connectome Toolbox: an open, extensible framework for multimodal connectomic data integration and analysis}},
author = {Y. Vickneswaran and A. Ponzi and A. Sinha and N. Cohen and S. Larson and P. Gleeson},
howpublished = {bioRxiv},
year = {2026},
month = nov,
doi = {10.64898/2026.11.04.764366},
url = {https://www.biorxiv.org/content/10.64898/2026.11.04.764366v1},
note = {CC BY},
}
RIS
TY - UNPB
TI - The C. elegans Connectome Toolbox: an open, extensible framework for multimodal connectomic data integration and analysis
AU - Y. Vickneswaran
AU - A. Ponzi
AU - A. Sinha
AU - N. Cohen
AU - S. Larson
AU - P. Gleeson
PY - 2026
DA - 2026/11/04
PB - bioRxiv
DO - 10.64898/2026.11.04.764366
UR - https://www.biorxiv.org/content/10.64898/2026.11.04.764366v1
AB - The nematode C. elegans is one of the best studied model organisms in biology. Since the initial description of the C. elegans neuronal connectome by White and colleagues, numerous studies have mapped and analyzed the connectome, and released structured datasets of the connectivity, often merging and adding to previous versions. These datasets now serve as foundational resources that underpin studies into the neuronal basis of C. elegans behavior. In spite of their high utility, heterogeneity in the different datasets and their annotation conventions obscures direct comparison where discrepancies between connectomes frequently stem from differences in coverage or nomenclature rather than genuine biological disagreement. Additionally, datasets describing new connectivity modalities - contact-based (the contactome), extrasynaptic (monoaminergic and neuropeptidergic), and functional connectivity - have also recently become available. Thus, there is a need for a unified framework providing standardized access to these diverse datasets while preserving their individual provenance. Here, we present the C. elegans Connectome Toolbox, a comprehensive framework for consolidating, curating and validating historical and newly published multimodal C. elegans connectivity data. Connectome Toolbox includes an accessible online resource (https://openworm.org/ConnectomeToolbox) for interactive data exploration and is accompanied by a Python library for programmatic access. We demonstrate the utility of the toolbox through a series of analyses that illustrate how connectome data can be explored, visualized, and compared across modalities, including integration of the anatomical connectome with a comprehensive neurotransmitter atlas, and comparison with computational models of C. elegans neural circuits.
ER -