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Dataset . 2020
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Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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An in-silico generated library of DMED derivatized FAHFA lipids (Data Supplement)

Authors: Jun Ding; Tobias Kind; Quan-Fei Zhu; Yu Wang; Jing-Wen Yan; Oliver Fiehn; Yu-Qi Feng;

An in-silico generated library of DMED derivatized FAHFA lipids (Data Supplement)

Abstract

Data supplement for publication "An in-silico generated library of DMED derivatized FAHFA lipids (Data Supplement)" (2020) Jun Ding(1,2), Tobias Kind(1), Quan-Fei Zhu(2), Yu Wang(2), Jing-Wen Yan(2), Oliver Fiehn(1), Yu-Qi Feng(2,3) (1) West Coast Metabolomics Center, UC Davis Genome Center, University of California, Davis, 451 Health Sciences Drive, Davis, California 95616, United States (2) Department of Chemistry, Wuhan University, Wuhan, 430072, PR China (3) Frontier Science Center for Immunology and Metabolism, Wuhan University, Wuhan, 430072, PR China Content: 1) arabidopsis-chromatograms: UPLC-MSMS of DMED derivatized FAHFAs 2) decoy: Decoy search of DMED library against NIST17 library 3) developement: XLS template sheet for development (can be used to adjust or create new library) 4) MSP-spectra: spectra in NIST MSP format (use with MS-Dial or NIST MS Search) 5) NIST-Format: NIST17 compatible DMED-FAHFA library (use with NIST MS Search) 6) Orbitrap-reference-spectra: DMED-FAHFA authentic reference spectra in Thermo RAW format (CID) 7) MSP-reference-standards: DMED-FAHFA authentic in NIST MSP format (for searching NIST MS-Search) 8) structures: Compound mol files and SMILES files Version 1.0 January 13 2020

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Keywords

DMED-FAHFA, chemical derivatization, in-silico mass spectra, tandem mass spectrometry, LipidBlast

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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