This is the development version of sRACIPE; for the stable release version, see sRACIPE.
Systems biology tool to simulate gene regulatory circuitsBioconductor version: Development (3.22)
sRACIPE implements a randomization-based method for gene circuit modeling. It allows us to study the effect of both the gene expression noise and the parametric variation on any gene regulatory circuit (GRC) using only its topology, and simulates an ensemble of models with random kinetic parameters at multiple noise levels. Statistical analysis of the generated gene expressions reveals the basin of attraction and stability of various phenotypic states and their changes associated with intrinsic and extrinsic noises. sRACIPE provides a holistic picture to evaluate the effects of both the stochastic nature of cellular processes and the parametric variation.
Author: Mingyang Lu [aut, cre] ORCID: 0000-0001-8158-0593 , Vivek Kohar [aut], Aidan Tillman [aut], Daniel Ramirez [aut]
Maintainer: Mingyang Lu <m.lu at northeastern.edu>
Citation (from within R, entercitation("sRACIPE")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("sRACIPE")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("sRACIPE")Follow Installation instructions to use this package in your R session.
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