Chaste: An Open Source C++ Library for Computational Physiology and Biology

By Gary R. Mirams, Christopher J. Arthurs, M. Bernabeu, R. Bordas, J. Cooper, A. Corrias, Y. Davit, S. Dunn, A. Fletcher, D. G. Harvey and 7 more. PLoS Comput. Biol., 2013

448 citations recorded by the source corpus.

Chaste — Cancer, Heart And Soft Tissue Environment — is an open source C++ library for the computational simulation of mathematical models developed for physiology and biology. Code development has been driven by two initial applications: cardiac electrophysiology and cancer development. A large number of cardiac electrophysiology studies have been enabled and performed, including high-performance computational investigations of defibrillation on realistic human cardiac geometries. New models for the initiation and growth of tumours have been developed. In particular, cell-based simulations have provided novel insight into the role of stem cells in the colorectal crypt. Chaste is constantly evolving and is now being applied to a far wider range of problems. The code provides modules for handling common scientific computing components, such as meshes and solvers for ordinary and partial differential equations (ODEs/PDEs). Re-use of these components avoids the need for researchers to ‘re-invent the wheel’ with each new project, accelerating the rate of progress in new applications. Chaste is developed using industrially-derived techniques, in particular test-driven development, to ensure code quality, re-use and reliability. In this article we provide examples that illustrate the types of problems Chaste can be used to solve, which can be run on a desktop computer. We highlight some scientific studies that have used or are using Chaste, and the insights they have provided. The source code, both for specific releases and the development version, is available to download under an open source Berkeley Software Distribution (BSD) licence at http://www.cs.ox.ac.uk/chaste, together with details of a mailing list and links to documentation and tutorials.

Subfields: Biomedical Engineering, Cardiology and Cardiovascular Medicine, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/223154d1eed8c229109e0dcbd8c350776d0e3a09

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Citations in the corpus

A Review of Cell-Based Computational Modeling in Cancer Biology (2019, methodology): “35,36 VCell can simulate reacting ﬂ ows of many proteins within a single detailed cell, 32,33 and many modeling packages (eg, Chaste, 37 CompuCell3D, 38 and EPISIM 39 ) support systems biology markup language (SBML) to include systems of ODEs that simulate molecular effects in individual cells.”
PhysiCell: An open source physics-based cell simulator for 3-D multicellular systems (2017, methodology): “Lastly, PhysiCell also serves as an independent codebase to cross-validate model predictions in Chaste, Biocellion, TiSim, Timothy, and other platforms.”