sRACIPE

DOI: 10.18129/B9.bioc.sRACIPE    

Systems biology tool to simulate gene regulatory circuits

Bioconductor version: Release (3.13)

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: Vivek Kohar [aut, cre] , Mingyang Lu [aut]

Maintainer: Vivek Kohar <vivek.kohar at gmail.com>

Citation (from within R, enter citation("sRACIPE")):

Installation

To install this package, start R (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("sRACIPE")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("sRACIPE")

 

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Details

biocViews GeneExpression, GeneRegulation, GeneTarget, MathematicalBiology, ResearchField, Software, SystemsBiology
Version 1.8.0
In Bioconductor since BioC 3.9 (R-3.6) (2.5 years)
License MIT + file LICENSE
Depends R (>= 3.6.0), SummarizedExperiment, methods, Rcpp
Imports ggplot2, reshape2, MASS, RColorBrewer, gridExtra, visNetwork, gplots, umap, htmlwidgets, S4Vectors, BiocGenerics, grDevices, stats, utils, graphics
LinkingTo Rcpp
Suggests knitr, BiocStyle, rmarkdown, tinytest, doFuture
SystemRequirements
Enhances
URL https://vivekkohar.github.io/sRACIPE/ https://github.com/vivekkohar/sRACIPE https://geneex.jax.org/
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package sRACIPE_1.8.0.tar.gz
Windows Binary sRACIPE_1.8.0.zip
macOS 10.13 (High Sierra) sRACIPE_1.8.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/sRACIPE
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/sRACIPE
Package Short Url https://bioconductor.org/packages/sRACIPE/
Package Downloads Report Download Stats

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