omXplore
Science Score: 36.0%
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
Found .zenodo.json file -
○DOI references
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○Academic publication links
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✓Committers with academic emails
2 of 4 committers (50.0%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (11.9%) to scientific vocabulary
Keywords
Keywords from Contributors
Repository
Basic Info
- Host: GitHub
- Owner: edyp-lab
- Language: R
- Default Branch: RELEASE_3_21
- Homepage: https://edyp-lab.github.io/omXplore/
- Size: 9.43 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 5
- Releases: 0
Topics
Metadata Files
README.md
What is omXplore?
omXplore is a Bioconductor
package that provides
functions for the visualization and the statistical analysis of proteomics data.
It can deal with common Bioconductor formats such as as Msnset, QFeatures,
MultiAssayExperiment.
It is also possible to write your own plot modules so as to embed it into
the GUI of omXplore.
Evolving the
DAPARpackage plots towards Shiny modules.
Getting started
See the omXplore introduction to get started with the visualization of data.
License
The omXplore code is provided under a permissive Artistic 2.0
license. The
documentation, including the manual pages and the vignettes, are
distributed under a CC BY-SA
license.
Installation
To install this package, start R (version "4.3") and enter:
``` if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager")
BiocManager::install("omXplore") ```
This will also install dependencies.
It is also possible to install omXplore from Github:
``` library(devtools) install_github('edyp-lab/omXplore')
```
For older versions of R, please refer to the appropriate Bioconductor release.
Owner
- Name: EDyP laboratory
- Login: edyp-lab
- Kind: organization
- Location: France
- Website: www.edyp.fr
- Repositories: 2
- Profile: https://github.com/edyp-lab
The EDyP lab is specialized in mass spectrometry-based proteomics.
GitHub Events
Total
- Push event: 11
Last Year
- Push event: 11
Committers
Last synced: 10 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Samuel Wieczorek | s****k@c****r | 125 |
| ARIZTEGUI Cyril | C****9@i****r | 4 |
| J Wokaty | j****y@s****u | 2 |
| A Wokaty | a****y@s****u | 1 |
Committer Domains (Top 20 + Academic)
Packages
- Total packages: 1
-
Total downloads:
- bioconductor 2,742 total
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 6
- Total maintainers: 1
bioconductor.org: omXplore
Vizualization tools for 'omics' datasets with R
- Homepage: https://github.com/edyp-lab/omXplore https://edyp-lab.github.io/omXplore/
- Documentation: https://bioconductor.org/packages/release/bioc/vignettes/omXplore/inst/doc/omXplore.pdf
- License: Artistic-2.0
-
Latest release: 1.2.2
published 11 months 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
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- actions/upload-artifact master composite
- codecov/codecov-action v4.0.1 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- R >= 4.3.0 depends
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- DT * imports
- FactoMineR * imports
- MSnbase * imports
- MultiAssayExperiment * imports
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- shiny * imports
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- vioplot * imports
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- BiocStyle * suggests
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