Science Score: 49.0%
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○CITATION.cff file
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✓DOI references
Found 6 DOI reference(s) in README -
○Academic publication links
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✓Committers with academic emails
4 of 15 committers (26.7%) from academic institutions -
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○Scientific vocabulary similarity
Low similarity (11.0%) to scientific vocabulary
Keywords from Contributors
Repository
Multi-sample multi-group scRNA-seq analysis tools
Statistics
- Stars: 198
- Watchers: 14
- Forks: 35
- Open Issues: 39
- Releases: 0
Metadata Files
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
"sample_id"specifying unique sample identifiers (e.g., PeterPan1, Nautilus7, ...)"group_id"specifying each sample's experimental condition (e.g., reference/stimulated, healthy/diseased, ...)"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
- Website: https://helenalc.github.io
- Repositories: 7
- Profile: https://github.com/HelenaLC
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
Top Committers
| Name | 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
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
- Homepage: https://github.com/HelenaLC/muscat
- Documentation: https://bioconductor.org/packages/release/bioc/vignettes/muscat/inst/doc/muscat.pdf
- License: GPL-3
-
Latest release: 1.22.0
published 10 months ago
Rankings
Maintainers (1)
Dependencies
- R >= 4.2 depends
- BiocParallel * imports
- ComplexHeatmap * imports
- DESeq2 * imports
- Matrix * imports
- S4Vectors * imports
- SingleCellExperiment * imports
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