ArticleFrontiers in computational neuroscience2014
OpenWorm: an open-science approach to modeling Caenorhabditis elegans.
Article in Frontiers in computational neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
61 citing papers in PubMed.
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- CeDNe: A multi-scale computational framework for modeling structure-function relationships in thebioRxiv : the preprint server for biology · 2025Article
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- Community-based reconstruction and simulation of a full-scale model of the rat hippocampus CA1 region.PLoS biology · 2024Article
- NeuroLab 2.0: An Alternative Storyline Design Approach for Translating a Research-Based Summer Experience into an Advanced STEM+M Curriculum Unit that Supports Three-Dimensional Teaching and Learning in the Classroom.Journal of STEM outreach · 2024Article
- Theoretical perspective on synthetic man-made life: Learning from the origin of life.Quantitative biology (Beijing, China) · 2023Review
- Learning Probabilistic Piecewise Rigid Atlases of Model Organisms via Generative Deep Networks.Information processing in medical imaging : proceedings of the ... conference · 2023Article
- mEMbrain: an interactive deep learning MATLAB tool for connectomic segmentation on commodity desktops.bioRxiv : the preprint server for biology · 2023Article
- The synaptic organization in theProceedings of the National Academy of Sciences of the United States of America · 2023Article
- Learning the dynamics of realistic models of C. elegans nervous system with recurrent neural networks.Scientific reports · 2023Article
- Toward a data infrastructure for the Plant Cell Atlas.Plant physiology · 2023Review
- Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub.Frontiers in neuroinformatics · 2023Article
- mEMbrain: an interactive deep learning MATLAB tool for connectomic segmentation on commodity desktops.Frontiers in neural circuits · 2023Article
- Rapid detection and recognition of whole brain activity in a freely behaving Caenorhabditis elegans.PLoS computational biology · 2022Article
- Fast, efficient, and accurate neuro-imaging denoising via supervised deep learning.Nature communications · 2022Article
- Toward a more accurate 3D atlas of C. elegans neurons.BMC bioinformatics · 2022Article
- NeuroMechFly, a neuromechanical model of adult Drosophila melanogaster.Nature methods · 2022Article
- Systematic generation of biophysically detailed models with generalization capability for non-spiking neurons.PloS one · 2022Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
OpenWorm is an international collaboration with the aim of understanding how the behavior of Caenorhabditis elegans (C. elegans) emerges from its underlying physiological processes. The project has developed a modular simulation engine to create computational models of the worm. The modularity of the engine makes it possible to easily modify the model, incorporate new experimental data and test hypotheses. The modeling framework incorporates both biophysical neuronal simulations and a novel fluid-dynamics-based soft-tissue simulation for physical environment-body interactions. The project's open-science approach is aimed at overcoming the difficulties of integrative modeling within a traditional academic environment. In this article the rationale is presented for creating the OpenWorm collaboration, the tools and resources developed thus far are outlined and the unique challenges associated with the project are discussed.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.