2018
DOI: 10.1098/rstb.2017.0381
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Towards systematic, data-driven validation of a collaborative, multi-scale model of Caenorhabditis elegans

Abstract: The OpenWorm Project is an international open-source collaboration to create a multi-scale model of the organism Caenorhabditis elegans. At each scale, including subcellular, cellular, network and behaviour, this project employs one or more computational models that aim to recapitulate the corresponding biological system at that scale. This requires that the simulated behaviour of each model be compared with experimental data both as the model is continuously refined and as new experimental data become availab… Show more

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Cited by 8 publications
(7 citation statements)
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“…Previous work has investigated performing imputation of neural spikes, membrane potentials, calcium dynamics, model parameters and connectivities [37,38,39,40,41,42]. However these studies do not operate under a biologically accurate model of the dynamics of a whole connectome, instead investigating individual or small networks of fully observed synthetic neurons.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Previous work has investigated performing imputation of neural spikes, membrane potentials, calcium dynamics, model parameters and connectivities [37,38,39,40,41,42]. However these studies do not operate under a biologically accurate model of the dynamics of a whole connectome, instead investigating individual or small networks of fully observed synthetic neurons.…”
Section: Discussionmentioning
confidence: 99%
“…To conclude we note that in the past year several articles discussing open research issues pertaining to C. elegans simulation have been produced by the C. elegans community [4,42,47,48]. Figure 1(d) outlines the community planned development pipeline for C. elegans simulation.…”
Section: Discussionmentioning
confidence: 99%
“…In contrast to simple unit tests, which verify that a discrete piece of code has the correct behaviour, model validation tests verify that the output of an entire dynamic model corresponds to known behaviour from the academic literature. For instance, alongside the ion channel curation and parameter extraction tasks in ChannelWorm, a parallel effort is aimed at implementing validation tests for each of these models using the Python library SciUnit [ 48 ]. The validation process uses curated datasets of ion channel behaviour to instantiate analogous statistical tests that a researcher would use when developing such a model.…”
Section: Methodsmentioning
confidence: 99%
“…With regard to more traditional academic metrics, the special issue in which this article appears will include the publication of several new articles featuring foundational modelling, simulation, data management and data presentation technologies developed as a result of OpenWorm-led collaborations [ 19 , 20 , 23 , 48 ]. Before this special issue, we have published a handful of papers on several different facets of the project in a spectrum of journals focused on the computational biological sciences.…”
Section: Recent Progressmentioning
confidence: 99%
“…Models need to be constrained at many levels by experimental data to be of use in making predictions about the behaviour of the biological entities being simulated. Gerkin et al [29] describe a framework, SciUnit, which is being used in OpenWorm to validate models produced by the project against experimental data on ion channel kinetics, neuronal firing and worm locomotion.…”
Section: Introductionmentioning
confidence: 99%