Science Score: 36.0%

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

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    2 of 4 committers (50.0%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.9%) to scientific vocabulary

Keywords

prostar2

Keywords from Contributors

genomics bioconductor-package bioconductor gene proteomics visualisation
Last synced: 10 months ago · JSON representation

Repository

Basic Info
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 5
  • Releases: 0
Topics
prostar2
Created over 2 years ago · Last pushed 11 months ago
Metadata Files
Readme Changelog

README.md

Project Status: Active R-CMD-check-bioc R-CMD-check Bioc release status Bioc devel status <!-- badges: end -->

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 DAPAR package 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

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

All Time
  • Total Commits: 132
  • Total Committers: 4
  • Avg Commits per committer: 33.0
  • Development Distribution Score (DDS): 0.053
Past Year
  • Commits: 37
  • Committers: 4
  • Avg Commits per committer: 9.25
  • Development Distribution Score (DDS): 0.189
Top Committers
Name Email 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

  • Versions: 6
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 2,742 Total
Rankings
Dependent repos count: 0.0%
Dependent packages count: 31.5%
Average: 42.4%
Downloads: 95.6%
Maintainers (1)
Last synced: 11 months ago

Dependencies

.github/workflows/R-CMD-check.yaml actions
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  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
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.github/workflows/check-bioc.yml actions
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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
.github/workflows/codecov.yaml actions
DESCRIPTION cran
  • R >= 4.3.0 depends
  • methods * depends
  • DT * imports
  • FactoMineR * imports
  • MSnbase * imports
  • MultiAssayExperiment * imports
  • PSMatch * imports
  • RColorBrewer * imports
  • SummarizedExperiment * imports
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  • factoextra * imports
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  • highcharter * imports
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  • shiny * imports
  • shinyBS * imports
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  • stats * imports
  • tibble * imports
  • tidyr * imports
  • utils * imports
  • vioplot * imports
  • visNetwork * imports
  • BiocStyle * suggests
  • Matrix * suggests
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  • knitr * suggests
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  • testthat * suggests