splatter

Simple simulation of single-cell RNA sequencing data

https://github.com/oshlack/splatter

Science Score: 49.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
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  • DOI references
    Found 16 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    4 of 26 committers (15.4%) from academic institutions
  • Institutional organization owner
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  • Scientific vocabulary similarity
    Low similarity (15.1%) to scientific vocabulary

Keywords

bioconductor bioinformatics scrna-seq simulation

Keywords from Contributors

bioconductor-packages gene genomics core-package mass-spectrometry metabolomics single-cell-rna-seq feature-detection core-services human-cell-atlas
Last synced: 6 months ago · JSON representation

Repository

Simple simulation of single-cell RNA sequencing data

Basic Info
Statistics
  • Stars: 228
  • Watchers: 5
  • Forks: 59
  • Open Issues: 8
  • Releases: 17
Topics
bioconductor bioinformatics scrna-seq simulation
Created over 9 years ago · Last pushed 8 months ago
Metadata Files
Readme Changelog License

README.md

Splatter

Project Status Lifecycle Codecov test coverage R-CMD-check-bioc Bioc release status Bioc devel status Bioc downloads rank Bioc support Bioc history Bioc last commit Bioc dependencies <!-- badges: end -->

Splatter logo

Splatter is an R package for the simple simulation of single-cell RNA sequencing data. Splatter provides a common interface to multiple simulations that have:

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

Splatter is built on top of several Bioconductor packages and stores simulations in SingleCellExperiment objects. Splatter also has functions for comparing simulations and real datasets.

Installation.

Splatter is available from Bioconductor for R >=3.4.

It can be installed from Bioconductor with:

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

If you wish to build a local version of the vignette use:

r BiocManager::install("splatter", build_vignettes=TRUE)

This will also build the vignette and install all suggested dependencies (which aren't required for core functionality).

Getting started

Once installed the best place to get started is the vignette. For most users the most convenient way to access this is online here. To get started with population scale simulations, see the splatPop vignette here.

Alternatively, if you chose to build the vignette, you can load Splatter, then browse the vignettes:

r library(splatter) browseVignettes("splatter")

This is a detailed document that introduces the main features of Splatter.

Citing Splatter

If you use Splatter please cite our paper "Zappia L, Phipson B, Oshlack A. Splatter: Simulation Of Single-Cell RNA Sequencing Data. Genome Biology. 2017; doi:10.1186/s13059-017-1305-0".

bibtex @Article{, author = {Luke Zappia and Belinda Phipson and Alicia Oshlack}, title = {Splatter: simulation of single-cell RNA sequencing data}, journal = {Genome Biology}, year = {2017}, url = {http://dx.doi.org/10.1186/s13059-017-1305-0}, doi = {10.1186/s13059-017-1305-0}, }

If you use the splatPop functions, please also cite "Azodi CB, Zappia L, Oshlack A, McCarthy DJ. splatPop: simulating population scale single-cell RNA sequencing data. Genome Biology. 2021; doi:10.1186/s13059-021-02546-1".

bibtex @Article{, author = {Christina B Azodi and Luke Zappia and Alicia Oshlack and Davis J McCarthy}, title = {splatPop: simulating population scale single-cell RNA sequencing data}, journal = {Genome Biology}, year = {2021}, url = {http://dx.doi.org/10.1186/s13059-021-02546-1}, doi = {10.1186/s13059-021-02546-1}, }

Owner

  • Name: Oshlack
  • Login: Oshlack
  • Kind: organization

GitHub Events

Total
  • Create event: 10
  • Release event: 2
  • Issues event: 2
  • Watch event: 10
  • Delete event: 7
  • Issue comment event: 2
  • Push event: 20
  • Pull request event: 12
  • Fork event: 2
Last Year
  • Create event: 10
  • Release event: 2
  • Issues event: 2
  • Watch event: 10
  • Delete event: 7
  • Issue comment event: 2
  • Push event: 20
  • Pull request event: 12
  • Fork event: 2

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 708
  • Total Committers: 26
  • Avg Commits per committer: 27.231
  • Development Distribution Score (DDS): 0.234
Past Year
  • Commits: 26
  • Committers: 4
  • Avg Commits per committer: 6.5
  • Development Distribution Score (DDS): 0.231
Top Committers
Name Email Commits
Luke Zappia l****i 542
cazodi c****i@s****u 83
Nitesh Turaga n****a@g****m 15
Luke Zappia l****a@m****u 13
l.zappia l****a@b****8 9
hpages@fhcrc.org h****s@f****g@b****8 5
Hervé Pagès h****s@f****g 4
Robrecht Cannoodt b****s@g****m 4
Christina Azodi c****i@g****m 4
Robrecht Cannoodt r****t@u****e 3
evanbiederstedt e****t@g****m 3
Wenjie Wang w****g@l****m 3
J Wokaty j****y@s****u 2
vobencha v****a@g****m 2
J Wokaty j****y 2
Herve Pages h****s@f****g 2
vobencha v****n@r****g 2
LiNk-NY m****9@g****m 2
Wouter Saelens w****s@g****m 1
Allen Zhang a****g@b****a 1
Jeffrey Pullin j****n@g****m 1
Dayne d****r@g****m 1
Christina Azodi c****i@m****u 1
lshep l****d@r****g 1
mtmorgan@fhcrc.org m****n@f****g@b****8 1
Martin Morgan m****n@f****g 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 0
  • Total pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: about 7 hours
  • Total issue authors: 0
  • Total pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 1
Past Year
  • Issues: 0
  • Pull requests: 2
  • Average time to close issues: N/A
  • Average time to close pull requests: about 7 hours
  • Issue authors: 0
  • Pull request authors: 2
  • Average comments per issue: 0
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 1
Top Authors
Issue Authors
  • kuang-da (1)
  • emine2441 (1)
  • vali301s (1)
  • HelenaLC (1)
Pull Request Authors
  • dependabot[bot] (5)
  • lazappi (2)
Top Labels
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question (3)
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dependencies (5)

Dependencies

DESCRIPTION cran
  • R >= 4.0 depends
  • SingleCellExperiment * depends
  • BiocGenerics * imports
  • BiocParallel * imports
  • S4Vectors * imports
  • SummarizedExperiment * imports
  • checkmate >= 2.0.0 imports
  • crayon * imports
  • edgeR * imports
  • fitdistrplus * imports
  • ggplot2 * imports
  • grDevices * imports
  • locfit * imports
  • matrixStats * imports
  • methods * imports
  • scales * imports
  • scater >= 1.15.16 imports
  • stats * imports
  • utils * imports
  • BASiCS >= 1.7.10 suggests
  • BiocManager * suggests
  • BiocSingular * suggests
  • BiocStyle * suggests
  • Biostrings * suggests
  • GenomeInfoDb * suggests
  • GenomicRanges * suggests
  • IRanges * suggests
  • SparseDC * suggests
  • VariantAnnotation * suggests
  • covr * suggests
  • cowplot * suggests
  • igraph * suggests
  • knitr * suggests
  • limSolve * suggests
  • lme4 * suggests
  • magick * suggests
  • mfa * suggests
  • phenopath * suggests
  • preprocessCore * suggests
  • progress * suggests
  • pscl * suggests
  • rmarkdown * suggests
  • scDD * suggests
  • scran * suggests
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  • spelling * suggests
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  • zinbwave * suggests
.github/workflows/check.yml actions
  • JamesIves/github-pages-deploy-action 4.1.4 composite
  • actions/checkout v3 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite