Publication: eMZed: an open source framework in Python for rapid and interactive development of LC/MS data analysis workflows
eMZed: an open source framework in Python for rapid and interactive development of LC/MS data analysis workflows
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Kiefer, P., Schmitt, U., & Vorholt, J. A. (2013). eMZed: an open source framework in Python for rapid and interactive development of LC/MS data analysis workflows. Bioinformatics, 29(7), 963–964. https://doi.org/10.1093/bioinformatics/btt080
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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
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- Kiefer, P
- Schmitt, U
- Vorholt, J A
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Kiefer, P., Schmitt, U., & Vorholt, J. A. (2013). eMZed: an open source framework in Python for rapid and interactive development of LC/MS data analysis workflows. Bioinformatics, 29(7), 963–964. https://doi.org/10.1093/bioinformatics/btt080
