Reproducible and flexible simulation experiments with ML-Rules and SESSL.

Autor: Warnke, T, Helms, T, Uhrmacher, A M
Předmět:
Zdroj: Bioinformatics; 4/15/2018, Vol. 34 Issue 8, p1424-1427, 4p
Abstrakt: The modeling language ML-Rules allows specifying and simulating complex systems biology models at multiple levels of organization. The development of such simulation models involves a wide variety of simulation experiments and the replicability of generated simulation results requires suitable means for documenting simulation experiments. Embedded domain-specific languages, such as SESSL, cater to both requirements. With SESSL, the user can integrate diverse simulation experimentation methods and third-party software components into an executable, readable simulation experiment specification. A newly developed SESSL binding for ML-Rules exploits these features of SESSL, opening up new possibilities for executing and documenting simulation experiments with ML-Rules models. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index