LipidMatch Flow – Covers entire lipidomics workflow

A one-step solution covering the entire lipidomics data-processing workflow for LC HRMS/MS data. Simply drag the correctly named vendor files onto the interface, select an output directory, and click Run. Performs file conversion, peak picking, blank filtering, identification (using LipidMatch), and combining positive and negative mode data.

Please read and agree to the following license for dependencies before downloading:

MZmine: https://github.com/mzmine/mzmine2/blob/master/LICENSE.txt
MSConvert: http://proteowizard.sourceforge.net/licenses.html

Download LipidMatch Suite 4.0

Download LipidMatch Flow 3.5

Watch YouTube Tutorials

Citations

J. P. Koelmel, N. M. Kroeger, C. Z. Ulmer, J. A. Bowden, R. E. Patterson, J. A. Cochran, C. W. W. Beecher, T. J. Garrett, R. A. Yost: LipidMatch: an automated workflow for rule-based lipid identification using untargeted high-resolution tandem mass spectrometry data. BMC Bioinformatics. (2017) 18:331. doi: 10.1186/s12859-017-1744-3

D. Kessner, M. Chambers, R. Burke, D. Agus, and P. Mallick: ProteoWizard: Open Source Software for Rapid Proteomics Tools Development. Bioinformatics. (2008) 24(21): 2534–2536. doi: 10.1093/bioinformatics/btn323

T. Pluskal, S. Castillo, A. Villar-Briones, M. Orešič, MZmine 2: Modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data, BMC Bioinformatics 11:395 (2010). PMID: 20650010

Free software is great! But integrating and developing an entire lipidomics workflow which best uses your resources and team's expertise is not easy. How can you best make use of the technologies available and comprehensively and accurately report lipid values in your lab or to your customers? Contact us for our range of services and to speak to an expert, see if we have the training or services to take your research to the next level.