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
| Maintainer | Hechen Li <hli691@gatech.edu> |
| Author | Hechen Li [aut, cre] (ORCID: <https://orcid.org/0000-0003-4907-429X>), Xiuwei Zhang [aut], Ziqi Zhang [aut], Michael Squires [aut] |
| License | Artistic-2.0 |
| URL | https://zhanglabgt.github.io/scMultiSim/ |
| Bug Reports | https://github.com/ZhangLabGT/scMultiSim/issues |
| Downloads rank | 209 |
| Source branch | RELEASE_3_23 |
| biocViews | ExperimentalDesign, GeneExpression, Sequencing, SingleCell, Software, Transcriptomics |
Documentation
- Getting Started
- Simulating Multimodal Single-cell Datasets
- Simulating Spatial Cell-Cell Interactions
- Parameter Guide
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)