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scMultiSim

Simulation of Multi-Modality Single Cell Data Guided By Gene Regulatory Networks and Cell-Cell Interactions

Bioconductor version: 3.23 · Package version: 1.8.0

scMultiSim simulates paired single cell RNA-seq, single cell ATAC-seq and RNA velocity data, while incorporating mechanisms of gene regulatory networks, chromatin accessibility and cell-cell interactions. It allows users to tune various parameters controlling the amount of each biological factor, variation of gene-expression levels, the influence of chromatin accessibility on RNA sequence data, and so on. It can be used to benchmark various computational methods for single cell multi-omics data, and to assist in experimental design of wet-lab experiments.

Installation

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

BiocManager::install("scMultiSim")

Details

MaintainerHechen Li <hli691@gatech.edu>
AuthorHechen Li [aut, cre] (ORCID: <https://orcid.org/0000-0003-4907-429X>), Xiuwei Zhang [aut], Ziqi Zhang [aut], Michael Squires [aut]
LicenseArtistic-2.0
URLhttps://zhanglabgt.github.io/scMultiSim/
Bug Reportshttps://github.com/ZhangLabGT/scMultiSim/issues
Downloads rank209
Source branchRELEASE_3_23
biocViewsExperimentalDesign, GeneExpression, Sequencing, SingleCell, Software, Transcriptomics

Documentation

Download

Dependencies

Depends: R (>= 4.4.0)

Imports: foreach, rlang, dplyr, ggplot2, Rtsne, ape, MASS, matrixStats, phytools, KernelKnn, gplots, zeallot, crayon, assertthat, igraph, methods, grDevices, graphics, stats, utils, markdown, SummarizedExperiment, BiocParallel

Suggests: knitr, rmarkdown, roxygen2, shiny, testthat (>= 3.0.0)