chromatographr

Toolset for the reproducible analysis of chromatography data in R (HPLC-DAD/UV, GC-FID).

https://github.com/ethanbass/chromatographr

Science Score: 49.0%

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
    Found 5 DOI reference(s) in README
  • Academic publication links
    Links to: zenodo.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (17.0%) to scientific vocabulary

Keywords

bioinformatics cheminformatics chromatography gc-fid hplc hplc-dad hplc-pda hplv-uv metabolomics open-data open-science r r-package reproducibility reproducible-research

Keywords from Contributors

bioconductor-package bioconductor biomarker-discovery biostatistics causal-inference computational-biology targeted-learning
Last synced: 6 months ago · JSON representation

Repository

Toolset for the reproducible analysis of chromatography data in R (HPLC-DAD/UV, GC-FID).

Basic Info
Statistics
  • Stars: 20
  • Watchers: 1
  • Forks: 3
  • Open Issues: 1
  • Releases: 17
Topics
bioinformatics cheminformatics chromatography gc-fid hplc hplc-dad hplc-pda hplv-uv metabolomics open-data open-science r r-package reproducibility reproducible-research
Created over 4 years ago · Last pushed 6 months ago
Metadata Files
Readme Changelog Contributing Funding License Zenodo

README.md

chromatographR

Last commit R-CMD-check
chromatographR status badge CRAN_Status_Badge
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Overview

chromatographR is a package for the reproducible analysis of HPLC-DAD chromatographic data in R. It can also be used to analyze other "simple" chromatographic data like GC-FID, HPLC-UV, or HPLC-FD.

Installation

chromatographR can now be installed from CRAN:

install.packages("chromatographR")

However, it's recommended to install the latest development version of chromatographR from GitHub using the devtools package:

install.packages("remotes") remotes::install_github("https://github.com/ethanbass/chromatographR/")

or from R Universe:

install.packages("chromatographR", repos="https://ethanbass.r-universe.dev/", type="source")

Usage

Importing data

chromatographR can import a variety of vendor formats, including 'Agilent ChemStation' and 'MassHunter' files. This is accomplished using parsers from my chromConverter package. See the chromConverter page for a detailed list of supported formats. Alternatively, chromatographR can also be used with regular csv files.

Analysis

Please see the vignette included with the package for details on the application of chromatographR for the analysis of HPLC data. Additional articles are available on the pkgdown website: 1) a suggested workflow for the analysis of GC-FID data (Polistes cuticular hydrocarbons) and 2) an introductory guide to the programmatic analysis of UV spectra.

Contributing

Contributions are always welcome. Please get in touch (preferable by opening a GitHub issue) to discuss any suggestions or to file a bug report. Some good reasons to file an issue:

  • You've found an actual bug.
  • You're getting a cryptic error message that you don't understand.
  • You have a file format you'd like to read that isn't currently supported by chromatographR. (If you do this, please make sure to include a link to an example file!)
  • You have a new feature you'd like to see implemented.

Also see the contributing.md page for more details.

(Note: Please post questions about file conversions to the chromConverter page).

Citation:

If you use chromatographR in published work, please cite it as follows:

Bass, E. (2023). chromatographR: Chromatographic Data Analysis Toolset (version 0.7.3). http://doi.org/10.5281/zenodo.6944334

Owner

  • Name: Ethan Bass
  • Login: ethanbass
  • Kind: user
  • Company: Cornell University

I'm a scientist studying plant interactions & their chemical mechanisms in the @Kessler-Lab. I also do some scientific software development in R.

GitHub Events

Total
  • Create event: 4
  • Issues event: 5
  • Release event: 2
  • Watch event: 8
  • Delete event: 1
  • Issue comment event: 29
  • Push event: 69
  • Fork event: 2
Last Year
  • Create event: 4
  • Issues event: 5
  • Release event: 2
  • Watch event: 8
  • Delete event: 1
  • Issue comment event: 29
  • Push event: 69
  • Fork event: 2

Committers

Last synced: about 1 year ago

All Time
  • Total Commits: 711
  • Total Committers: 9
  • Avg Commits per committer: 79.0
  • Development Distribution Score (DDS): 0.069
Past Year
  • Commits: 50
  • Committers: 1
  • Avg Commits per committer: 50.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Ethan Bass e****s@g****m 662
Ron Wehrens r****s@g****m 26
Dan Tenenbaum d****a@f****g 10
Herve Pages h****s@f****g 4
vobencha v****a@g****m 2
Nitesh Turaga n****a@g****m 2
Hervé Pagès h****s@f****g 2
vobencha v****n@r****g 2
Marc Carlson m****n@f****g 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 18
  • Total pull requests: 18
  • Average time to close issues: 25 days
  • Average time to close pull requests: about 6 hours
  • Total issue authors: 13
  • Total pull request authors: 1
  • Average comments per issue: 5.0
  • Average comments per pull request: 0.06
  • Merged pull requests: 17
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 3
  • Pull requests: 0
  • Average time to close issues: 2 months
  • Average time to close pull requests: N/A
  • Issue authors: 3
  • Pull request authors: 0
  • Average comments per issue: 9.67
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • ethanbass (3)
  • thuvousc (2)
  • jenny-mrchl (2)
  • crestre (2)
  • IMPHank16 (1)
  • BenDMoore (1)
  • filipevictoria (1)
  • TomWarburtonIA (1)
  • Phenomniverse (1)
  • tchrisboles (1)
  • JAEYOONSUNG (1)
  • paxhl5 (1)
  • raimanish8 (1)
Pull Request Authors
  • ethanbass (19)
Top Labels
Issue Labels
bug (2) enhancement (2) good first issue (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads: unknown
  • Total docker downloads: 21,613
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 3
cran.r-project.org: chromatographR

Chromatographic Data Analysis Toolset

  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Docker Downloads: 21,613
Rankings
Stargazers count: 26.2%
Forks count: 28.8%
Dependent packages count: 29.8%
Average: 30.1%
Dependent repos count: 35.5%
Last synced: 6 months ago

Dependencies

.github/workflows/R-CMD-check.yaml actions
  • 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
.github/workflows/pkgdown.yaml actions
  • 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
DESCRIPTION cran
  • R >= 3.5.0 depends
  • chromConverter * imports
  • dynamicTreeCut * imports
  • fastcluster * imports
  • grDevices * imports
  • graphics * imports
  • lattice * imports
  • methods * imports
  • minpack.lm * imports
  • parallel * imports
  • ptw * imports
  • pvclust * imports
  • scales * imports
  • smoother * imports
  • stats * imports
  • utils * imports
  • VPdtw * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • spelling * suggests
  • testthat >= 3.0.0 suggests
  • vdiffr * suggests