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sRACIPE

Systems biology tool to simulate gene regulatory circuits

Bioconductor version: 3.23 · Package version: 2.4.0

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.

Installation

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

BiocManager::install("sRACIPE")

Details

MaintainerMingyang Lu <m.lu@northeastern.edu>
AuthorMingyang Lu [aut, cre] (ORCID: <https://orcid.org/0000-0001-8158-0593>), Vivek Kohar [aut], Aidan Tillman [aut], Daniel Ramirez [aut]
LicenseMIT + file LICENSE
URLhttps://github.com/lusystemsbio/sRACIPE, https://geneex.jax.org/, https://vivekkohar.github.io/sRACIPE/
Downloads rank319
Source branchRELEASE_3_23
biocViewsGeneExpression, GeneRegulation, GeneTarget, MathematicalBiology, ResearchField, Software, SystemsBiology

Documentation

Download

Dependencies

Depends: R (>= 3.6.0), SummarizedExperiment, methods, Rcpp

Imports: ggplot2, reshape2, MASS, RColorBrewer, gridExtra, visNetwork, gplots, umap, htmlwidgets, S4Vectors, BiocGenerics, grDevices, stats, utils, graphics, doFuture, doRNG, future, foreach

LinkingTo: Rcpp

Suggests: knitr, BiocStyle, rmarkdown, tinytest