https://github.com/bioconductor-source/simpic
Science Score: 13.0%
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Academic email domains
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (7.9%) to scientific vocabulary
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
Metadata Files
README.md
simPIC
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| -------------- | ------------- |
| 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
- Website: https://bioconductor.org
- Repositories: 1
- Profile: https://github.com/bioconductor-source
Source code for packages accepted into Bioconductor
GitHub Events
Total
Last Year
Dependencies
- 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