@inbook{4d58d344079b48cc8a671982fe04534d,
title = "A guide to integrating transcriptional regulatory and metabolic networks using PROM (probabilistic regulation of metabolism)",
abstract = "The integration of transcriptional regulatory and metabolic networks is a crucial step in the process of predicting metabolic behaviors that emerge from either genetic or environmental changes. Here, we present a guide to PROM (probabilistic regulation of metabolism), an automated method for the construction and simulation of integrated metabolic and transcriptional regulatory networks that enables large-scale phenotypic predictions for a wide range of model organisms.",
keywords = "Constraintbased modeling, Metabolic networks, Microarray data, Probabilistic regulation of metabolism, Systems biology, Transcriptional regulatory networks",
author = "Evangelos Simeonidis and Sriram Chandrasekaran and Price, {Nathan D.}",
year = "2013",
doi = "10.1007/978-1-62703-299-5_6",
language = "English (US)",
isbn = "9781627032988",
series = "Methods in Molecular Biology",
publisher = "Humana Press Inc.",
pages = "103--112",
booktitle = "Systems Metabolic Engineering",
}