Parameter estimation of qualitative biological regulatory networks on high performance computing hardware.

ABSTRACT:

Background

Biological Regulatory Networks (BRNs) are responsible for developmental and maintenance related functions in organisms. These functions are implemented by the dynamics of BRNs and are sensitive to regulations enforced by specific activators and inhibitors. The logical modeling formalism by René Thomas incorporates this sensitivity with a set of logical parameters modulated by available regulators, varying with time. With the increase in complexity of BRNs in terms of number of entities and their interactions, the task of parameters estimation becomes computationally expensive with existing sequential SMBioNET tool. We extend the existing sequential implementation of SMBioNET by using a data decomposition approach using a Java messaging library called MPJ Express. The app

SUBMITTER: Saeed MT 

PROVIDER: S-EPMC6311083 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature