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Hybrid Automata Library: A flexible platform for hybrid modeling with real-time visualization.
Bravo, Rafael R; Baratchart, Etienne; West, Jeffrey; Schenck, Ryan O; Miller, Anna K; Gallaher, Jill; Gatenbee, Chandler D; Basanta, David; Robertson-Tessi, Mark; Anderson, Alexander R A.
Afiliação
  • Bravo RR; Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, Florida, United States of America.
  • Baratchart E; Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, Florida, United States of America.
  • West J; Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, Florida, United States of America.
  • Schenck RO; Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, Florida, United States of America.
  • Miller AK; Wellcome Centre for Human Genetics, University of Oxford, Oxford, United Kingdom.
  • Gallaher J; Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, Florida, United States of America.
  • Gatenbee CD; Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, Florida, United States of America.
  • Basanta D; Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, Florida, United States of America.
  • Robertson-Tessi M; Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, Florida, United States of America.
  • Anderson ARA; Integrated Mathematical Oncology, Moffitt Cancer Center, Tampa, Florida, United States of America.
PLoS Comput Biol ; 16(3): e1007635, 2020 03.
Article em En | MEDLINE | ID: mdl-32155140
ABSTRACT
The Hybrid Automata Library (HAL) is a Java Library developed for use in mathematical oncology modeling. It is made of simple, efficient, generic components that can be used to model complex spatial systems. HAL's components can broadly be classified into on- and off-lattice agent containers, finite difference diffusion fields, a GUI building system, and additional tools and utilities for computation and data collection. These components are designed to operate independently and are standardized to make them easy to interface with one another. As a demonstration of how modeling can be simplified using our approach, we have included a complete example of a hybrid model (a spatial model with interacting agent-based and PDE components). HAL is a useful asset for researchers who wish to build performant 1D, 2D and 3D hybrid models in Java, while not starting entirely from scratch. It is available on GitHub at https//github.com/MathOnco/HAL under the MIT License. HAL requires the Java JDK version 1.8 or later to compile and run the source code.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional Idioma: En Ano de publicação: 2020 Tipo de documento: Article