https://github.com/fgcz/rawDiag
Brings Orbitrap mass spectrometry data to life; multi-platform, fast and colorful R package
https://github.com/fgcz/rawDiag
fast mass-spectrometry multiplatform orbitrap r rpackage visualization
Last synced: about 1 year ago
JSON representation
Brings Orbitrap mass spectrometry data to life; multi-platform, fast and colorful R package
- Host: GitHub
- URL: https://github.com/fgcz/rawDiag
- Owner: fgcz
- Created: 2018-03-13T12:16:47.000Z (about 8 years ago)
- Default Branch: devel
- Last Pushed: 2024-05-01T09:10:36.000Z (about 2 years ago)
- Last Synced: 2025-04-19T16:32:26.004Z (about 1 year ago)
- Topics: fast, mass-spectrometry, multiplatform, orbitrap, r, rpackage, visualization
- Language: R
- Homepage: https://bioconductor.org/packages/rawDiag
- Size: 172 MB
- Stars: 36
- Watchers: 5
- Forks: 11
- Open Issues: 39
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Metadata Files:
- Readme: README.md
- Changelog: NEWS.md
Awesome Lists containing this project
- awesome-proteomics - rawDiag - R - Package that can be used in conjustion with rawrr - [paper](https://pubs.acs.org/doi/10.1021/acs.jproteome.8b00173) (5. Raw Data Analysis / Table of Contents)
README
[](http://dx.doi.org/10.1021/acs.jproteome.8b00173)
# rawDiag

an R package supporting rational LC-MS method optimization for bottom-up proteomics on multiple OS platforms
main features:
1. **multiplatform** and **fast** reading through using [The New RawFileReader from Thermo Fisher Scientific](http://planetorbitrap.com/rawfilereader).
2. uses latest visualization generation through using Rs [ggplot2](https://cran.r-project.org/package=ggplot2) package.
3. provides an R interface to your instrument raw data.
4. ships with an example [shiny application](http://fgcz-ms-shiny.uzh.ch:8080/bfabric_rawDiag/).