Related Experiment Video
Updated: May 2, 2026
Large Scale Non-targeted Metabolomic Profiling of Serum by Ultra Performance Liquid Chromatography-Mass Spectrometry UPLC-MS
Published on: March 14, 2013
Eclipse: a Python package for alignment of two or more nontargeted LC-MS metabolomics datasets
Daniel S Hitchcock1, Jesse N Krejci1, Chloe E Sturgeon1
1Metabolomics Platform, Broad Institute of MIT and Harvard, Cambridge, MA 02142, United States.
Summary:
Nontargeted LC-MS (liquid chromatography-tandem mass spectrometry) metabolomics datasets contain a wealth of information but present many challenges during analysis and processing. Often, two or more independently processed datasets must be aligned to form a complete dataset, but existing software does not fully meet our needs. For this, we have created an open-source Python package called Eclipse. Eclipse uses a novel graph-based approach to handle complex matching scenarios that arise from n > 2 datasets.
Availability And Implementation:
Eclipse is open source (https://github.com/broadinstitute/bmxp) and can be installed via "pip install bmxp."
