muscat

Multi-sample multi-group scRNA-seq analysis tools

https://github.com/helenalc/muscat

Science Score: 49.0%

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  • DOI references
    Found 6 DOI reference(s) in README
  • Academic publication links
  • Committers with academic emails
    4 of 15 committers (26.7%) from academic institutions
  • Institutional organization owner
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  • Scientific vocabulary similarity
    Low similarity (11.0%) to scientific vocabulary

Keywords from Contributors

bioconductor-package bioconductor bioinformatics mass-spectrometry rnaseq recount junction illumina human gene
Last synced: 6 months ago · JSON representation

Repository

Multi-sample multi-group scRNA-seq analysis tools

Basic Info
  • Host: GitHub
  • Owner: HelenaLC
  • Language: R
  • Default Branch: main
  • Homepage:
  • Size: 22.5 MB
Statistics
  • Stars: 198
  • Watchers: 14
  • Forks: 35
  • Open Issues: 39
  • Releases: 0
Created over 7 years ago · Last pushed 10 months ago
Metadata Files
Readme Changelog

README.md

muscat (Multi-sample **multi-group scRNA-seq analysis tools )**

...provides methods for Differential State (DS) analyses in scRNA-seq data
with multiple samples, groups, and (cell)-subpopulations, as elaborated in:

Crowell HL, Soneson C*, Germain P-L*,
Calini D, Collin L, Raposo C, Malhotra D & Robinson MD:
"muscat detects subpopulation-specific state transitions from
multi-sample multi-condition single-cell transcriptomics data"
Nature Communications 11, 6077 (2020)
DOI: 10.1038/s41467-020-19894-4

*These authors contributed equally.

installation

muscat is available through Bioconductor, and can be installed using the following commands:

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

quick guide

Let sce be a SingleCellExperiment object with cell metadata (colData) columns

  1. "sample_id" specifying unique sample identifiers (e.g., PeterPan1, Nautilus7, ...)
  2. "group_id" specifying each sample's experimental condition (e.g., reference/stimulated, healthy/diseased, ...)
  3. "cluster_id" specifying subpopulation (cluster) assignments (e.g., B cells, dendritic cells, ...)

Aggregation-based methods come down to the following simple commands:

```r

compute pseudobulks (sum of counts)

pb <- aggregateData(sce, assay = "counts", fun = "sum", by = c("clusterid", "sampleid"))

run pseudobulk (aggregation-based) DS analysis

ds_pb <- pbDS(pb, method = "edgeR") ```

Mixed models can be run directly on cell-level measurements, e.g.:

r ds_mm <- mmDS(sce, method = "dream")

For details, please see the package vignettes.

differential detection

muscat also supports testing for differential detection as proposed in

Gilis J, Perin L, Malfait M, Van den Berge K,
Assefa AT, Verbist B, Risso D, and Clement L:
Differential detection workflows for
multi-sample single-cell RNA-seq data.
bioRxiv (2023). DOI: 10.1101/2023.12.17.572043

Key alterations to the commands above are highlighted below (!!!), however, we recommend users consult the corresponding publication and package vignette for more details.

```r

sum binarized counts

pb <- aggregateData(sce, assay = "counts", fun = "num.detected", # !!! by = c("clusterid", "sampleid"))

test for differential detection

dd <- pbDD(pb) # or.. dd <- pbDS(pb, method = "DD") ```

Owner

  • Name: Helena L. Crowell
  • Login: HelenaLC
  • Kind: user
  • Location: University of Zurich, Switzerland

GitHub Events

Total
  • Issues event: 6
  • Watch event: 35
  • Delete event: 1
  • Issue comment event: 11
  • Push event: 16
  • Pull request event: 3
  • Fork event: 2
  • Create event: 3
Last Year
  • Issues event: 6
  • Watch event: 35
  • Delete event: 1
  • Issue comment event: 11
  • Push event: 16
  • Pull request event: 3
  • Fork event: 2
  • Create event: 3

Committers

Last synced: 10 months ago

All Time
  • Total Commits: 574
  • Total Committers: 15
  • Avg Commits per committer: 38.267
  • Development Distribution Score (DDS): 0.235
Past Year
  • Commits: 36
  • Committers: 5
  • Avg Commits per committer: 7.2
  • Development Distribution Score (DDS): 0.167
Top Committers
Name Email Commits
HelenaLC h****a@c****u 439
HelenaLC h****l@u****h 52
Helena Lucia Crowell h****c@H****l 28
Pierre-Luc Germain p****n@g****m 15
Nitesh Turaga n****a@g****m 12
J Wokaty j****y@s****u 10
Charlotte Soneson c****n@g****m 4
Thony t****s@h****m 3
Milan Malfait m****4@g****m 3
Helena L. Crowell c****h@s****h 2
Jeroen Gilis g****s@c****e 2
Hervé Pagès h****b@g****m 1
HelenaLC h****a@c****u 1
Mark Robinson m****n@i****h 1
A Wokaty a****y@s****u 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 126
  • Total pull requests: 21
  • Average time to close issues: about 1 month
  • Average time to close pull requests: 11 days
  • Total issue authors: 86
  • Total pull request authors: 13
  • Average comments per issue: 2.67
  • Average comments per pull request: 0.67
  • Merged pull requests: 9
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 4
  • Pull requests: 5
  • Average time to close issues: about 3 hours
  • Average time to close pull requests: 19 days
  • Issue authors: 4
  • Pull request authors: 2
  • Average comments per issue: 1.25
  • Average comments per pull request: 0.6
  • Merged pull requests: 3
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • yuyingxie (10)
  • AnjaliC4 (5)
  • bassanio (5)
  • wmacnair (4)
  • Nayrouz109 (3)
  • wanghao98 (3)
  • priyamnarain (3)
  • HelenaLC (3)
  • lindsaynhayes (3)
  • milanmlft (2)
  • AnaBVA (2)
  • crazyhottommy (2)
  • BingbingYuan (2)
  • cakeinspace (2)
  • ismailelshimy (2)
Pull Request Authors
  • plger (5)
  • ansonrel (4)
  • jgilis (2)
  • markrobinsonuzh (2)
  • dbdimitrov (1)
  • XikunHan (1)
  • wmacnair (1)
  • HelenaLC (1)
  • markziemann (1)
  • molecules (1)
  • federicomarini (1)
  • milanmlft (1)
  • lpantano (1)
Top Labels
Issue Labels
enhancement (3) documentation (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • bioconductor 35,854 total
  • Total dependent packages: 1
  • Total dependent repositories: 0
  • Total versions: 6
  • Total maintainers: 1
bioconductor.org: muscat

Multi-sample multi-group scRNA-seq data analysis tools

  • Versions: 6
  • Dependent Packages: 1
  • Dependent Repositories: 0
  • Downloads: 35,854 Total
Rankings
Dependent repos count: 0.0%
Dependent packages count: 0.0%
Stargazers count: 1.3%
Forks count: 1.4%
Average: 9.7%
Downloads: 46.1%
Maintainers (1)
Last synced: 7 months ago

Dependencies

DESCRIPTION cran
  • R >= 4.2 depends
  • BiocParallel * imports
  • ComplexHeatmap * imports
  • DESeq2 * imports
  • Matrix * imports
  • S4Vectors * imports
  • SingleCellExperiment * imports
  • SummarizedExperiment * imports
  • blme * imports
  • data.table * imports
  • dplyr * imports
  • edgeR * imports
  • ggplot2 * imports
  • glmmTMB * imports
  • grDevices * imports
  • grid * imports
  • limma * imports
  • lme4 * imports
  • lmerTest * imports
  • matrixStats * imports
  • methods * imports
  • progress * imports
  • purrr * imports
  • scales * imports
  • scater * imports
  • sctransform * imports
  • scuttle * imports
  • stats * imports
  • variancePartition * imports
  • viridis * imports
  • BiocStyle * suggests
  • ExperimentHub * suggests
  • RColorBrewer * suggests
  • UpSetR * suggests
  • countsimQC * suggests
  • cowplot * suggests
  • iCOBRA * suggests
  • knitr * suggests
  • phylogram * suggests
  • reshape2 * suggests
  • rmarkdown * suggests
  • statmod * suggests
  • testthat * suggests
.github/workflows/check-bioc.yml actions
  • actions/cache v2 composite
  • actions/checkout v2 composite
  • actions/upload-artifact master composite
  • docker/build-push-action v1 composite
  • r-lib/actions/setup-pandoc master composite
  • r-lib/actions/setup-r master composite