Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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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
Found 2 DOI reference(s) in README -
○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (14.9%) to scientific vocabulary
Repository
Summarization of CellRanger count metrics.
Basic Info
- Host: GitHub
- Owner: khodosevichlab
- Language: R
- Default Branch: main
- Size: 19.8 MB
Statistics
- Stars: 5
- Watchers: 2
- Forks: 1
- Open Issues: 6
- Releases: 3
Metadata Files
README.md
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CRMetrics
05-07-2023
Cell Ranger output filtering and metrics visualisation
Installation
r
install.packages("remotes")
remotes::install_github("khodosevichlab/CRMetrics") # CRAN version
remotes::install_github("khodosevichlab/CRMetrics", ref = "dev") # developer version
Initialization
A CRMetrics object can be initialized in different ways using
CRMetrics$new(). Either data.path or cms must be provided. The most important arguments are:
-
data.path: A path to a directory containing sample-wise directories with outputs fromcellranger count. Can also beNULL. Can also be a vector of multiple paths. -
cms: A list with count matrices. Must be named with sample IDs. Can also beNULL -
metadata: Can either be 1) adata.frame, or 2) a path to a table file (separator should be set with thesep.metaargument), or 3)NULL. For 1) and 2) the object must contain named columns, and one column has to be namedsamplecontaining sample IDs. Sample IDs must match the directory names indata.pathor names ofcmsunless both these areNULL. In case of 3), a minimal metadata object is created from names indata.pathor names ofcms.
Vignette
For usage, please see the vignette / code.
Python integrations
CRMetrics makes use of several Python packages, some of them through the
reticulate package in R, please see the included example
workflow
in the vignette.
Cite
To cite this work, please run citation("CRMetrics") or cite our preprint:
Fabienne Lorena Kick, Henrietta Holze, Rasmus Rydbirk, Konstantin Khodosevich: CRMetrics - an R package for Cell Ranger Filtering and Metrics Visualisation, 06 July 2023, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-2853524/v1]
Owner
- Name: Khodosevich lab
- Login: khodosevichlab
- Kind: organization
- Location: Denmark
- Website: https://www.bric.ku.dk/Research/khodosevich-group/
- Repositories: 10
- Profile: https://github.com/khodosevichlab
GitHub Events
Total
- Issue comment event: 3
- Push event: 10
- Pull request review event: 34
- Pull request review comment event: 34
- Pull request event: 6
- Fork event: 1
Last Year
- Issue comment event: 3
- Push event: 10
- Pull request review event: 34
- Pull request review comment event: 34
- Pull request event: 6
- Fork event: 1
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 46
- Total pull requests: 11
- Average time to close issues: 14 days
- Average time to close pull requests: 2 minutes
- Total issue authors: 9
- Total pull request authors: 2
- Average comments per issue: 1.41
- Average comments per pull request: 0.0
- Merged pull requests: 10
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 1
- Pull requests: 4
- Average time to close issues: N/A
- Average time to close pull requests: less than a minute
- Issue authors: 1
- Pull request authors: 2
- Average comments per issue: 5.0
- Average comments per pull request: 0.0
- Merged pull requests: 3
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- rrydbirk (19)
- HenriettaHolze (15)
- flkick (4)
- FFriis (2)
- ainsku (2)
- Laura19993 (1)
- XianXin0418 (1)
- Gesmira (1)
- aphalo (1)
Pull Request Authors
- rrydbirk (10)
- Laura19993 (2)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 1
-
Total downloads:
- cran 672 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 4
- Total maintainers: 1
cran.r-project.org: CRMetrics
Cell Ranger Output Filtering and Metrics Visualization
- Homepage: https://github.com/khodosevichlab/CRMetrics
- Documentation: http://cran.r-project.org/web/packages/CRMetrics/CRMetrics.pdf
- License: GPL-3
-
Latest release: 0.3.2
published over 1 year ago
Rankings
Maintainers (1)
Dependencies
- actions/checkout v2 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
- R >= 4.0.0 depends
- Matrix * imports
- R6 * imports
- cowplot * imports
- dplyr * imports
- ggbeeswarm * imports
- ggplot2 * imports
- ggpmisc * imports
- ggpubr * imports
- ggrepel * imports
- magrittr * imports
- methods * imports
- scales * imports
- sccore * imports
- sparseMatrixStats * imports
- stats * imports
- tibble * imports
- tidyr * imports
- utils * imports
- Seurat * suggests
- SoupX * suggests
- conos * suggests
- data.table * suggests
- markdown * suggests
- pagoda2 * suggests
- qs * suggests
- reticulate * suggests
- rhdf5 * suggests
- testthat >= 3.0.0 suggests