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LC-MS data processing engine for large-scale metabolomic experiments.

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Elmaven

An intuitive, opensource LC-MS data processing engine

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Quick start

Elmaven is supported by both 32 and 64 bit architectures on Ubuntu and Windows.

  • Download the Maven latest version or daily build depending on your OS and architecture
  • Install Elmaven on windows or on Ubuntu by following the installation instructions.
  • After installing, click on the Elmaven icon to launch Elmaven.
  • Elmaven loads with two windows: one for logging the application status and another, Elmaven application window for data analysis.

Elmaven features

Maven and Elmaven share following features:

  • Multi-file chromatographic aligner
  • Peak-feature detector
  • Isotope and adduct calculator
  • Formula predictor
  • Pathway visualizer
  • Isotopic flux animator

Elmaven is robust, faster and with more user friendly features compared to Maven.

Bugs and feature requests

Existing bugs and feature requests can be found on El-maven github issue page. Please search existing bugs and feature requests before you file a bug or request a feature.

Documentation

Please refer to Gitwiki for El maven user documentation.

Contributing

You are welcome to contribute. Please go through Elmaven’s contributing guidelines and for coding guidelines, please contact Elucidata team. These guidelines include directions for coding standards, opening issues and development guidelines.

Pull requests must include relevant unit tests. All the functional features are to be tested before committing the code.

Contributors

References

To understand Maven and Elmaven workflows and features, please refer to following literature on Maven:

Acknowledgment

Elmaven would not have been possible without the unwavering support, constant feedback and financial support from Agios. Elmaven thanks metabolomics community for it’s immense contribution in taking the tool forward and a great sucess.

Copyright and license

Code and documentation copyright 2017 Elucidata Inc. Code released under the GPL v2.0. Documentation is released under MIT license.

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LC-MS data processing engine for large-scale metabolomic experiments.

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