eMZed
Computational Tool
FAIR Metrics
0 evaluations
General Information
DescriptionAn open source framework in Python for rapid and interactive development of LC/MS data analysis workflows
Homepagehttp://emzed.biol.ethz.ch/
Publications
eMZed: an open source framework in Python for rapid and interactive development of LC/MS data analysis workflows
Patrick Kiefer; Uwe Schmitt; Julia A. Vorholt
Summary: The Python-based, open-source eMZed framework was developed for mass spectrometry (MS) users to create tailored workflows for liquid chromatography (LC)/MS data analysis. The goal was to establish a unique framework with comprehensive basic functionalities that are easy to apply and allow for the extension and modification of the framework in a straightforward manner. eMZed supports the iterative development and prototyping of individual evaluation strategies by providing a computing environment and tools for inspecting and modifying underlying LC/MS data. The framework specifically addresses non-expert programmers, as it requires only basic knowledge of Python and relies largely on existing successful open-source software, e.g. OpenMS.
Availability: The framework eMZed and its documentation are freely available at http://emzed.biol.ethz.ch/. eMZed is published under the GPL 3.0 license, and an online discussion group is available at https://groups.google.com/group/emzed-users.
Contact: kiefer@micro.biol.ethz.ch
Supplementary information: Supplementary data are available at Bioinformatics online.
Metrics:
3
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Datasets analyzed by the tool
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