title: eMZed: an open source framework in Python for rapid and interactive development of LC/MS data analysis workflows.
abstract: CONCLUSIONS
  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.
  
  
  BACKGROUND
  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.
  
  
  BACKGROUND
  Supplementary data are available at Bioinformatics online.
authors: ETH Zurich, Institute of Microbiology, 8093 Zurich, Switzerland. kiefer@micro.biol.ethz.ch
authors: Patrick
authors: P
authors: Kiefer
authors: Uwe
authors: U
authors: Schmitt
authors: Julia A
authors: JA
authors: Vorholt
mesh_terms: D002853:Chromatography, Liquid / Q000379:methods*; D013058:Mass Spectrometry / Q000379:methods*; D012984:Software; D057188:Workflow