Science Score: 57.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 4 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 (18.3%) to scientific vocabulary
Repository
Cellular Energetics Analysis Software
Basic Info
- Host: GitHub
- Owner: jamespeapen
- License: other
- Language: R
- Default Branch: main
- Homepage: https://jamespeapen.github.io/ceas/
- Size: 28.5 MB
Statistics
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 5
Metadata Files
README.md
ceas 
Cellular Energetics Analysis Software
Description
Measuring cellular energetics is essential to understanding a matrix’s (e.g. cell, tissue or biofluid) metabolic state. The Agilent Seahorse machine is a common method to measure real-time cellular energetics, but existing analysis tools are highly manual or lack functionality. The Cellular Energetics Analysis Software (ceas) R package fills this analytical gap by providing modular and automated Seahorse data analysis and visualization using the methods described by Mookerjee et al. (2017).
Pronunciation
'ceas' is pronounced like the word 'seas' (siːz, SEEZ).
Installation
CRAN
r
install.packages("ceas")
Github
You can install the release or development versions from GitHub by cloning the
repo. The code on the main branch is in sync with the CRAN releases while the
dev branch has the latest updates. Documentation for the dev branch can be
found on the dev page of the website
(/dev).
bash
git clone https://github.com/jamespeapen/ceas/
git clone -b dev https://github.com/jamespeapen/ceas/ # dev version
R CMD INSTALL ceas
You can also use the R devtools package:
r
devtools::install_github("jamespeapen/ceas")
devtools::install_github("jamespeapen/ceas", ref = "dev") # dev version
or pak:
r
pak::pkg_install("jamespeapen/ceas")
pak::pkg_install("jamespeapen/ceas@dev") # dev version
Usage
A user guide is available on the package website. Bug reports may be submitted through GitHub issues.
Citation
If you use ceas please cite
Rachel (Rae) J House, James P Eapen, Hui Shen, Carrie R Graveel, Matthew R Steensma (2024). ceas: An R package for Seahorse data analysis and visualization, Bioinformatics, 40(8), btae503
Contributing
Submit patches using GitHub pull requests or by sending a patch file to james.eapen@vai.org. We follow the tidyverse style guide using styler and lintr.
Owner
- Name: James Eapen
- Login: jamespeapen
- Kind: user
- Location: Van Andel Institute
- Company: @huishenlab
- Repositories: 11
- Profile: https://github.com/jamespeapen
PhD student in computational biology
Citation (CITATION.cff)
# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
cff-version: 1.2.0
message: 'To cite package "ceas" in publications use:'
type: software
license: MIT
title: 'ceas: Cellular Energetics Analysis Software'
version: 1.2.1
doi: 10.1093/bioinformatics/btae503
abstract: Measuring cellular energetics is essential to understanding a matrix’s (e.g.
cell, tissue or biofluid) metabolic state. The Agilent Seahorse machine is a common
method to measure real-time cellular energetics, but existing analysis tools are
highly manual or lack functionality. The Cellular Energetics Analysis Software (ceas)
R package fills this analytical gap by providing modular and automated Seahorse
data analysis and visualization using the methods described by Mookerjee et al.
(2017) <https://doi.org/10.1074/jbc.m116.774471>.
authors:
- family-names: House
given-names: Rachel (Rae) J.
email: rachel.house@vai.org
orcid: https://orcid.org/0000-0003-2176-0431
- family-names: Eapen
given-names: James P.
email: james.eapen@vai.org
orcid: https://orcid.org/0000-0001-6016-3598
preferred-citation:
type: article
title: 'ceas: An R package for Seahorse data analysis and visualization'
authors:
- family-names: House
given-names: Rachel (Rae) J.
email: rachel.house@vai.org
orcid: https://orcid.org/0000-0003-2176-0431
- family-names: Eapen
given-names: James P.
email: james.eapen@vai.org
orcid: https://orcid.org/0000-0001-6016-3598
- family-names: Shen
given-names: Hui
- family-names: Graveel
given-names: Carrie R.
- family-names: Steensma
given-names: Matthew R.
journal: Bioinformatics
year: '2024'
volume: '40'
issue: '8'
doi: 10.1093/bioinformatics/btae503
url: https://jamespeapen.github.io/ceas/
start: btae503
repository: https://CRAN.R-project.org/package=ceas
repository-code: https://github.com/jamespeapen/ceas/issues/
url: https://jamespeapen.github.io/ceas/
contact:
- family-names: House
given-names: Rachel (Rae) J.
email: rachel.house@vai.org
orcid: https://orcid.org/0000-0003-2176-0431
identifiers:
- type: url
value: https://github.com/jamespeapen/ceas/
GitHub Events
Total
- Create event: 5
- Issues event: 2
- Release event: 1
- Delete event: 6
- Push event: 23
Last Year
- Create event: 5
- Issues event: 2
- Release event: 1
- Delete event: 6
- Push event: 23
Issues and Pull Requests
Last synced: 6 months ago
Packages
- Total packages: 1
-
Total downloads:
- cran 277 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 2
- Total maintainers: 1
cran.r-project.org: ceas
Cellular Energetics Analysis Software
- Homepage: https://jamespeapen.github.io/ceas/
- Documentation: http://cran.r-project.org/web/packages/ceas/ceas.pdf
- License: MIT + file LICENSE
-
Latest release: 1.3.0
published about 1 year ago
Rankings
Maintainers (1)
Dependencies
- data.table * imports
- readxl * imports
- actions/checkout v3 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
- JamesIves/github-pages-deploy-action v4.4.1 composite
- actions/checkout v3 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite