OpenChrom
| Developer(s) | Philip Wenig, Alexander Kerner, Lorenz Gerber, Matthias Mailänder, ... |
|---|---|
| Stable release |
1.2.0 / August 25, 2017
|
| Written in | Java[1] |
| Operating system | Cross-platform |
| Type | Chemoinformatics/Bioinformatics |
| License | EPL, Third-party libraries under various OSI compatible licenses[2] |
| Website | https://www.openchrom.net |
OpenChrom is an open source software for the analysis and visualization of mass spectrometric and chromatographic data.[3] Its focus is to handle native data files from several mass spectrometry systems (e.g. GC/MS, LC/MS, Py-GC/MS, HPLC-MS), vendors like Agilent Technologies, Varian, Shimadzu, Thermo Fisher, PerkinElmer and others. But also data formats from other detector types are supported recently.
OpenChrom supports only the analysis and representation of chromatographic and mass spectrometric data. It has no capabilities for data acquisition or control of vendor hardware. OpenChrom is built on the Eclipse Rich Client Platform (RCP), hence it is available for various operating systems, e.g. Microsoft Windows, macOS and Linux. It is distributed under the Eclipse Public License 1.0 (EPL). Third-party libraries are separated into single bundles and are released under various OSI compatible licenses.
Contents
History
ChemClipse version 0.7.0
OpenChrom won the Thomas Krenn Open Source Award 2010[7] as well as the Eclipse Community Award 2011.[8] The developers are also founding members of the Eclipse Science Working Group.[9] After successful commercialization of contract development and services around the OpenChrom project, vendor Lablicate reinforced the commitment to Free/Libre/Open-Source Software with the release of ChemClipse in October 2016, which serves as the base for all OpenChrom products.[10]
Supported data formats
Each system vendor stores the recorded analysis data in its own data format. These mass spectrometry data formats are most commonly proprietary. That makes it difficult to compare data sets from different systems and vendors. Furthermore, it's a big drawback for interlaboratory tests. The aim of OpenChrom is to support a wide range of different data formats natively. OpenChrom takes care that the raw data files can't be modified (see also Good laboratory practice). Hence, the raw data converters are not published under an open source license. The appropriate vendor converters can be installed from the OpenChrom marketplace. Their usage is free of charge. Moreover, OpenChrom supports several open formats to save the analysis results. In addition, OpenChrom offers its own open source format (*.ocb) that makes it possible to save the edited chromatogram as well as the peaks and identification results.Mass selective detector
- Agilent *.D (DATA.MS and MSD1.MS)
- AMDIS Library (*.msl)
- Bruker Flex MALDI-MS (*.fid)
- Chromtech (*.dat)
- CSV (*.csv)
- Finnigan (*.RAW)
- Finnigan MAT95 (*.dat)
- Finnigan ITDS (*.DAT)
- Finnigan ITS40 (*.MS)
- Finnigan Element II (*.dat)
- JCAMP-DX (*.JDX)
- Microsoft Excel (*.xlsx)
- mzXML (*.mzXML)
- NetCDF (*.CDF)
- NIST Text (*.msp)
- OpenChrom XML (*.chrom)
- OpenChrom (*.ocb)
- Peak Loadings (*.mpl)
- PerkinElmer (*.raw)
- Varian SMS (*.SMS)
- Varian XMS (*.XMS)
- VG MassLab (*.DAT_001;1)
- Shimadzu (*.qgd)
- Shimadzu (*.spc)
- Waters (*.RAW)
- ZIP (*.zip)
- Agilent ICP-MS (*.icp)
- Finnigan ICIS (*.dat)
- mzML (*.mzML)
- SVG (*.svg)
- MassHunter (*.D)
- Finnigan ICIS (*.dat)
- MassLynx (*.RAW)
- Galactic Grams (*.cgm)
Flame ionization detector
- Agilent FID (*.D/*.ch)
- FID Text (*.xy)
- NetCDF (*.cdf)
- PerkinElmer (*.raw)
- Varian (*.run)
- Finnigan FID (*.dat)
- Finnigan FID (*.raw)
- Shimadzu (*.gcd)
- Arw (*.arw)
Other formats
- Peak Loadings (*.mpl)
- NIST-DB (*.msp)
- AMDIS (*.msl)
- AMDIS (*.cal)
- AMDIS (*.ELU)
- MassBank (*.txt)
Major features
OpenChrom offers a variety of features to analyze chromatographic data:- Native handling of chromatographic data (MSD and FID)
- Batch processing support
- Baseline detector support
- Peak detector, integrator support
- Peaks and mass spectrum identifier support
- Quantitation support
- Filter support (e.g. Mass Fragment and Scan Removal, noise reduction, Savitzky-Golay smoothing, CODA, backfolding)
- Retention time shift support
- Retention index support
- Chromatogram overlay mode
- Support for principal component analysis (PCA)
- Do/undo/redo support
- Integration of OpenOffice/LibreOffice and Microsoft Office
- Extensible by plug-ins
- Chromatogram and peak database support
- Update support
- Subtract mass spectra support
Releases
The software was first released in 2010. Each release is named after a famous scientist.| Codename | Eponym | Date | Version |
|---|---|---|---|
| Thomson | Joseph John Thomson | April 2010 | 0.1.0 |
| Goldstein | Eugen Goldstein | May 2010 | 0.2.0 |
| Wien | Wilhelm Wien | October 2010 | 0.3.0 |
| Tswett | Mikhail Semyonovich Tswett | April 2011 | 0.4.0 |
| Martin | Archer John Porter Martin | October 2011 | 0.5.0 |
| Synge | Richard L. M. Synge | April 2012 | 0.6.0 |
| Nernst | Walther Nernst | October 2012 | 0.7.0 |
| Dempster | Arthur Jeffrey Dempster | July 2013 | 0.8.0 |
| Mattauch | Josef Mattauch | July 2014 | 0.9.0 |
| Aston | Francis William Aston | July 2015 | 1.0.0 |
| Diels | Otto Diels | July 2016 | 1.1.0 |
| Alder | Kurt Alder | August 2017 | 1.2.0 |
| Dalton | John Dalton | August 2018 | 1.3.0 |
Old version
Older version, still supported
Latest version
Future release
Notes
- Philip Wenig: ChemClipse 0.7.0 released, October 2, 2016
External links
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Installing:
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