https://github.com/rformassspectrometry/qfeatures
Quantitative features for mass spectrometry data
https://github.com/rformassspectrometry/qfeatures
bioconductor mass-spectrometry metabolomics proteomics rstats
Last synced: about 1 year ago
JSON representation
Quantitative features for mass spectrometry data
- Host: GitHub
- URL: https://github.com/rformassspectrometry/qfeatures
- Owner: rformassspectrometry
- Created: 2019-04-22T16:27:59.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2025-03-22T14:31:33.000Z (about 1 year ago)
- Last Synced: 2025-03-30T05:04:18.011Z (about 1 year ago)
- Topics: bioconductor, mass-spectrometry, metabolomics, proteomics, rstats
- Language: R
- Homepage: https://RforMassSpectrometry.github.io/QFeatures/
- Size: 26.1 MB
- Stars: 27
- Watchers: 3
- Forks: 7
- Open Issues: 33
-
Metadata Files:
- Readme: README.md
- Changelog: NEWS.md
Awesome Lists containing this project
README
## Quantitative features for mass spectrometry data
[](https://www.repostatus.org/#active)
[](https://github.com/RforMassSpectrometry/QFeatures/actions?query=workflow%3AR-CMD-check-bioc)
[](https://codecov.io/github/rformassspectrometry/QFeatures?branch=master)
[](https://opensource.org/licenses/Artistic-2.0)

### What is QFeatures?
`QFeatures` is a [Bioconductor
package](http://bioconductor.org/packages/QFeatures) that provides
infrastructure to management and process quantitative features for
high-throughput mass spectrometry-based proteomics assays. It provides
a familiar Bioconductor user experience to manage quantitative data
across different assay levels (such as precursors, peptide spectrum
matches, peptides and proteins or protein groups) in a coherent and
tractable format.
If you are familiar with the `MSnbase` package, `QFeatures` could be
summarised with:
> Evolving `MSnSet` data towards `SummarizedExperiment`, but for
> proteomics data.
### Getting started
The `QFeatures` class is used to manage and process quantitative
features for high-throughput mass spectrometry assays. See the
[QFeatures
introduction](https://rformassspectrometry.github.io/QFeatures/articles/QFeatures.html)
to get started and the [Processing quantitative proteomics data with
QFeatures](https://rformassspectrometry.github.io/QFeatures/articles/Processing.html)
vignette for a real-life application. Visualisation of quantitative
mass spectrometry data contained in a `QFeatures` object is
illustrated in the [Data
visualisation](https://rformassspectrometry.github.io/QFeatures/articles/Visualization.html)
vignette.
### License
The `QFeatures` code is provided under a permissive [Artistic 2.0
license](https://opensource.org/licenses/Artistic-2.0). The
documentation, including the manual pages and the vignettes, are
distributed under a [CC BY-SA
license](https://creativecommons.org/licenses/by-sa/4.0/).