LUX score is the first metric for comparing lipidomes. It provides a measure of homology between lipidomes similar to genetic analyses (Marella et al. 2015, PLOS Comp. Biol). The original version is available at http://luxold.fz-borstel.de/ . The LUX Score Browser provides now all processing steps for computing the LUX score from your lipidome data within one software.

Citing LUX Score
Please reference LUX Score by citing the following publication:
Chakravarthy Marella, Andrew E. Torda and Dominik Schwudke,The LUX score: a metric for lipidome homology, PLoS computational biology, PLoS Comput Biol. 11(9):e1004511, 2015. https://doi.org/10.1371/journal.pcbi.1004511

LUX Score for Windows LUX Score for Linux Test Data

Please see the other articles below for more information on how to install and use LipidCreator.

LUX Score Release History

Contact and Help Desk

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LUX score related publications

  1. Dominik Schwudke,  Andrej Shevchenko, Nils Hoffmann and Robert Ahrends,Lipidomics Informatics for Life-Science,Journal of Biotechnology,  J Biotechnol. 261:131-136, 2017.
  2. Lars F.  Eggers, Julia  Müller , Chakravarthy  Marella, Verena  Scholz, Henrik  Watz, Christian  Kugler, Klaus F.  Rabe, Torsten  Goldmann  & Dominik  Schwudke,Lipidomes of lung cancer and tumour-free lung tissues reveal distinct molecular signatures for cancer differentiation, age, inflammation, and pulmonary emphysema,Scientific Reports, Sci Rep. 7(1):11087, 2017.
  3. Chakravarthy Marella, Andrew E. Torda and Dominik Schwudke,The LUX score: a metric for lipidome homology, PLoS computational biology, PLoS Comput Biol. 11(9):e1004511, 2015.

Bioanalytical Chemistry - Research Center Borstel

Dr. Domink Schwudke - Research group leader
Dr. Fadi Al Machot - Data mining, machine learning and developer



Uni Wien
l.mpi
fz borstel
Forschungszentrum Jülich

 
Supported by the German BMBF
Supported by the Austrian BMBWF