(a)
name: hybrid framework
parent: SBO_0000004
description: Modelling approach which combines multiple canonical modeling frameworks. For example, a hybrid model could consider both continuous (represented by real values) and discrete (represented by integers) participants. Hybrid models are executed with hybrid simulation algorithms. For example, a hybrid continuous-discrete model may be simulation using a combination of stochastic simulation and ordinary differential equations.
(b)
name: non-spatial hybrid framework
parent: hybrid framework
description: Modelling approach which combines multiple canonical non-spatial modeling frameworks. For example, a hybrid model could consider both continuous (represented by real values) and discrete (represented by integers) participants. Hybrid models are executed with hybrid simulation algorithms. For example, a hybrid continuous-discrete model may be simulation using a combination of stochastic simulation and ordinary differential equations.
(c)
name: spatial hybrid framework
parent: hybrid framework
description: Modelling approach which combines multiple canonical spatial modeling frameworks. For example, a hybrid model could consider both continuous (represented by real values) and discrete (represented by integers) participants. Hybrid models are executed with hybrid simulation algorithms. For example, a hybrid continuous-discrete model may be simulation using a combination of stochastic simulation and partial differential equations.
Anonymous
Revised request:
(a)
name: hybrid framework
parent: SBO_0000004
description: Modelling approach which combines multiple canonical modeling frameworks. For example, a hybrid model could consider both continuous (represented by real values) and discrete (represented by integers) participants. Hybrid models are executed with hybrid simulation algorithms. For example, a hybrid continuous-discrete model may be simulation using a combination of stochastic simulation and ordinary differential equations.
(b)
name: hybrid non-spatial framework
parent: hybrid framework
description: Modelling approach which combines multiple canonical non-spatial modeling frameworks. For example, a hybrid model could consider both continuous (represented by real values) and discrete (represented by integers) participants. Hybrid models are executed with hybrid simulation algorithms. For example, a hybrid continuous-discrete model may be simulation using a combination of stochastic simulation and ordinary differential equations.
(c)
name: hybrid spatial framework
parent: hybrid framework
description: Modelling approach which combines multiple canonical spatial modeling frameworks. For example, a hybrid model could consider both continuous (represented by real values) and discrete (represented by integers) participants. Hybrid models are executed with hybrid simulation algorithms. For example, a hybrid continuous-discrete model may be simulation using a combination of stochastic simulation and partial differential equations.
(d)
name: hybrid continuous-discrete non-spatial framework
parent: hybrid non-spatial framework
description: Modelling approach which combines the continuous and discrete modeling frameworks, in which some participants are represented as continuous quantities and others are represented as discrete quantities. Such models are executed with hybrid simulation algorithms that co-simulate the continuous and discrete quantities.
(e)
name: hybrid determinstic continuous-discrete non-spatial framework
parent: hybrid continuous-discrete non-spatial framework
description: Modelling approach which combines the determinstic continuous and discrete modeling frameworks, in which some participants are represented as deterministic continuous quantities and others are represented as discrete quantities. Such models are executed with hybrid simulation algorithms that co-simulate the continuous and discrete quantities.
Algorithms: KISAO_0000561, KISAO_0000562, KISAO_0000563
Implemented in: COPASI
(f)
name: hybrid stochastic continuous-discrete non-spatial framework
parent: hybrid continuous-discrete non-spatial framework
description: Modelling approach which combines the stochastic continuous and discrete modeling frameworks, in which some participants are represented as stochastic continuous quantities and others are represented as discrete quantities. Such models are executed with hybrid simulation algorithms that co-simulate the continuous and discrete quantities.
Algorithms: KISAO_0000598, KISAO_0000599, KISAO_0000600
Implemented in: VCell
(g)
name: hybrid flux balance-continuous non-spatial framework
parent: hybrid non-spatial framework
description: Modelling approach which combines the flux balance and continuous modeling frameworks, in which some participants are represented using flux balance modeling and some are represented using continuous modeling. Such models are executed with hybrid simulation algorithms that co-simulate the flux balance and continuous quantities.
Algorithms: KISAO_0000499, KISAO_0000500
Implemented in: COBRA Toolbox, FlexFlux, iBioSim
(h)
name: hybrid flux balance-discrete non-spatial framework
parent: hybrid non-spatial framework
description: Modelling approach which combines the flux balance and discrete modeling frameworks, in which some participants are represented using flux balance modeling and some are represented using discrete modeling. Such models are executed with hybrid simulation algorithms that co-simulate the flux balance and discrete quantities.
(i)
name: hybrid flux balance-logical non-spatial framework
parent: hybrid non-spatial framework
description: Modelling approach which combines the flux balance and logical modeling frameworks, in which some participants are represented using flux balance modeling and some are represented using logical modeling. Such models are executed with hybrid simulation algorithms that co-simulate the flux balance and logical quantities.
Algorithms: KISAO_0000595
Implemented in: COBRA Toolbox
(j)
name: hybrid flux balance-logical-continuous non-spatial framework
parent: hybrid non-spatial framework
description: Modelling approach which combines the flux balance, logical, and continuous modeling frameworks, in which some participants are represented using flux balance modeling, some are represented using logical modeling, and some are represented using continuous modeling. Such models are executed with hybrid simulation algorithms.
Algorithms: KISAO_0000592
Implemented in: COBRA Toolbox
(k)
name: hybrid logical-discrete non-spatial framework
parent: hybrid non-spatial framework
description: Modelling approach which combines the logical and discrete modeling frameworks, in which participants are represented as logical quantities and events are simulated as discrete time points.
Algorithms: KISAO_0000581
Implemented in: MaBoSS
Revised request:
(a)
name: hybrid framework
parent: SBO_0000004
description: Modelling approach which combines multiple canonical modeling frameworks. For example, a hybrid model could consider both continuous (represented by real values) and discrete (represented by integers) participants. Hybrid models are executed with hybrid simulation algorithms. For example, a hybrid continuous-discrete model may be simulation using a combination of stochastic simulation and ordinary differential equations.
(b)
name: hybrid non-spatial framework
parent: hybrid framework
description: Modelling approach which combines multiple canonical non-spatial modeling frameworks. For example, a hybrid model could consider both continuous (represented by real values) and discrete (represented by integers) participants. Hybrid models are executed with hybrid simulation algorithms. For example, a hybrid continuous-discrete model may be simulation using a combination of stochastic simulation and ordinary differential equations.
(c)
name: hybrid spatial framework
parent: hybrid framework
description: Modelling approach which combines multiple canonical spatial modeling frameworks. For example, a hybrid model could consider both continuous (represented by real values) and discrete (represented by integers) participants. Hybrid models are executed with hybrid simulation algorithms. For example, a hybrid continuous-discrete model may be simulation using a combination of stochastic simulation and partial differential equations.
(d)
name: hybrid continuous-discrete non-spatial framework
parent: hybrid non-spatial framework
description: Modelling approach which combines the continuous and discrete modeling frameworks, in which some participants are represented as continuous quantities and others are represented as discrete quantities. Such models are executed with hybrid simulation algorithms that co-simulate the continuous and discrete quantities.
(e)
name: hybrid determinstic continuous-discrete non-spatial framework
parent: hybrid continuous-discrete non-spatial framework
description: Modelling approach which combines the determinstic continuous and discrete modeling frameworks, in which some participants are represented as deterministic continuous quantities and others are represented as discrete quantities. Such models are executed with hybrid simulation algorithms that co-simulate the continuous and discrete quantities.
Algorithms: KISAO_0000561, KISAO_0000562, KISAO_0000563
Implemented in: COPASI
(f)
name: hybrid stochastic continuous-discrete non-spatial framework
parent: hybrid continuous-discrete non-spatial framework
description: Modelling approach which combines the stochastic continuous and discrete modeling frameworks, in which some participants are represented as stochastic continuous quantities and others are represented as discrete quantities. Such models are executed with hybrid simulation algorithms that co-simulate the continuous and discrete quantities.
Algorithms: KISAO_0000598, KISAO_0000599, KISAO_0000600
Implemented in: VCell
(g)
name: hybrid flux balance-continuous non-spatial framework
parent: hybrid non-spatial framework
description: Modelling approach which combines the flux balance and continuous modeling frameworks, in which some participants are represented using flux balance modeling and some are represented using continuous modeling. Such models are executed with hybrid simulation algorithms that co-simulate the flux balance and continuous quantities.
Algorithms: KISAO_0000499, KISAO_0000500
Implemented in: COBRA Toolbox, FlexFlux, iBioSim
(h)
name: hybrid flux balance-discrete non-spatial framework
parent: hybrid non-spatial framework
description: Modelling approach which combines the flux balance and discrete modeling frameworks, in which some participants are represented using flux balance modeling and some are represented using discrete modeling. Such models are executed with hybrid simulation algorithms that co-simulate the flux balance and discrete quantities.
(i)
name: hybrid flux balance-logical non-spatial framework
parent: hybrid non-spatial framework
description: Modelling approach which combines the flux balance and logical modeling frameworks, in which some participants are represented using flux balance modeling and some are represented using logical modeling. Such models are executed with hybrid simulation algorithms that co-simulate the flux balance and logical quantities.
Algorithms: KISAO_0000595
Implemented in: COBRA Toolbox
(j)
name: hybrid flux balance-logical-continuous non-spatial framework
parent: hybrid non-spatial framework
description: Modelling approach which combines the flux balance, logical, and continuous modeling frameworks, in which some participants are represented using flux balance modeling, some are represented using logical modeling, and some are represented using continuous modeling. Such models are executed with hybrid simulation algorithms.
Algorithms: KISAO_0000592
Implemented in: COBRA Toolbox
(k)
name: hybrid logical-discrete non-spatial framework
parent: hybrid non-spatial framework
description: Modelling approach which combines the logical and discrete modeling frameworks, in which participants are represented as logical quantities and events are simulated as discrete time points.
Algorithms: KISAO_0000581
Implemented in: MaBoSS
Added to SBO