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CellularPotts.jl: simulating multiscale cellular models in Julia.
Gregg, Robert W; Benos, Panayiotis V.
Afiliación
  • Gregg RW; Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, PA 15213, United States.
  • Benos PV; Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA 15206, United States.
Bioinformatics ; 40(1)2024 01 02.
Article en En | MEDLINE | ID: mdl-38134421
ABSTRACT

SUMMARY:

CellularPotts.jl is a software package written in Julia to simulate biological cellular processes such as division, adhesion, and signaling. Accurately modeling and predicting these simple processes is crucial because they facilitate more complex biological phenomena related to important disease states like tumor growth, wound healing, and infection. Here we take advantage of Cellular Potts Modeling to simulate cellular interactions and combine them with differential equations to model dynamic cell signaling patterns. These models are advantageous over other approaches because they retain spatial information about each cell while remaining computationally efficient at larger scales. Users of this package define three key inputs to create valid model definitions a 2- or 3-dimensional space, a table describing the cells to be positioned in that space, and a list of model penalties that dictate cell behaviors. Models can then be evolved over time to collect statistics, simulated repeatedly to investigate how changing a specific property impacts cellular behavior, and visualized using any of the available plotting libraries in Julia. AVAILABILITY AND IMPLEMENTATION The CellularPotts.jl package is released under the MIT license and is available at https//github.com/RobertGregg/CellularPotts.jl. An archived version of the code (v0.3.2) at time of submission can also be found at https//doi.org/10.5281/zenodo.10407783.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Fenómenos Fisiológicos Celulares / Modelos Biológicos Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Programas Informáticos / Fenómenos Fisiológicos Celulares / Modelos Biológicos Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido