OpenChrom

OpenChrom

OpenChrom is an open source software for chromatography data analysis, visualization, and processing. It supports various data formats and provides functionalities like peak integration, retention time correction, smoothing, normalization, and multi-channel overlay.
OpenChrom screenshot

OpenChrom: Open Source Software for Chromatography Data Analysis

Open source software for chromatography data analysis, visualization, and processing, supporting various data formats and offering peak integration, retention time correction, smoothing, normalization, and multi-channel overlay functionalities.

What is OpenChrom?

OpenChrom is an open source chromatography data system software designed for analyzing, visualizing, and processing chromatography and mass spectrometry data. It supports a wide range of data formats from various chromatography instruments including LC-MS, GC-MS, CE-MS, and provides a suite of tools for data processing, visualization, and analysis.

Key features of OpenChrom include:

  • Platform-independent - works on Windows, Linux, and macOS
  • Comprehensive format support - open data formats like mzXML, mzML, and netCDF as well as vendor proprietary formats
  • Data processing tools - peak picking, peak integration, retention time correction, smoothing, baseline correction, normalization, isotope and adduct deconvolution
  • Data visualization - overlay multiple data files, compare extracted ion chromatograms, customize plots
  • Automated and batch processing - apply processing workflows to multiple data files automatically
  • Extensibility - plugin architecture to extend functionality by adding new data readers, algorithms, and visualization plots

In summary, OpenChrom provides end-to-end workflow for processing and analyzing chromatography-mass spectrometry data through an intuitive and customizable graphical user interface suitable for routine analysis as well as method development needs.

OpenChrom Features

Features

  1. Data visualization
  2. Processing of chromatograms
  3. Support for multiple data formats
  4. Peak integration
  5. Retention time correction
  6. Smoothing and normalization

Pricing

  • Open Source

Pros

Free and open source

User-friendly graphical interface

Cross-platform compatibility

Powerful data analysis and processing capabilities

Support for advanced workflows

Cons

Limited support and documentation

Steep learning curve for advanced features

Data export limited to image files or CSV

Lacks some features of commercial software

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