Dataset Information
EMZed: an open source framework in Python for rapid and interactive development of LC/MS data analysis workflows.
Ontology highlight
ABSTRACT: 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.Supplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Kiefer P
PROVIDER: S-EPMC3605603 | biostudies-literature | 2013 Apr
REPOSITORIES: biostudies-literature
Publications
eMZed: an open source framework in Python for rapid and interactive development of LC/MS data analysis workflows.
Bioinformatics (Oxford, England) 20130215 7
<h4>Summary</h4>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 compu ...[more]