https://github.com/bioconductor-source/simpic

https://github.com/bioconductor-source/simpic

Science Score: 13.0%

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  • Scientific vocabulary similarity
    Low similarity (7.9%) to scientific vocabulary
Last synced: 10 months ago · JSON representation

Repository

Basic Info
  • Host: GitHub
  • Owner: bioconductor-source
  • Language: R
  • Default Branch: devel
  • Size: 1.91 MB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 2 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Changelog

README.md

simPIC

| | | | -------------- | ------------- | | Project Status | Project Status. |

Overview

simPIC is an R package for simple simulation of single-cell Assay for Transposase Accessible Chromatin sequencing (scATAC-seq) data. simPIC provides a an easy to use interface for:

  • estimating simulation parameters
  • Objects for storing those parameters
  • simulating counts using those parameters

Installation

The package can be installed from Bioconductor using the following code

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

Getting started

To get started, check out the vignette for a quick start and detailed look into simPIC. If you prefer, you can also build the vignette yourself by loading simpIC and exploring the available options.

r library(simPIC) browseVignettes("simPIC")

Owner

  • Name: (WIP DEV) Bioconductor Packages
  • Login: bioconductor-source
  • Kind: organization
  • Email: maintainer@bioconductor.org

Source code for packages accepted into Bioconductor

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Dependencies

DESCRIPTION cran
  • R >= 4.4.0 depends
  • SingleCellExperiment * depends
  • BiocGenerics * imports
  • Matrix * imports
  • S4Vectors * imports
  • SummarizedExperiment * imports
  • actuar * imports
  • checkmate >= 2.0.0 imports
  • fitdistrplus * imports
  • matrixStats * imports
  • methods * imports
  • rlang * imports
  • scales * imports
  • scuttle * imports
  • stats * imports
  • BiocStyle * suggests
  • ggplot2 >= 3.4.0 suggests
  • knitr * suggests
  • rmarkdown * suggests
  • testthat >= 3.0.0 suggests