Ontology highlight
ABSTRACT:
The biological data was used to fine-tune the developed decision rule sets. In particular, the high numbers of isobaric species and structural isomers contained in these samples helped in the detection of decisive differences for many isobaric subclasses/adducts.
Control experiment 1 assays for this study can be found in the MetaboLights study MTBLS394.
Control experiment 2 assays for this study can be found in the MetaboLights study MTBLS391.
Control experiment 3 assays for this study can be found in the MetaboLights study MTBLS398.
LipidBlast benchmarking assays for this study can be found in the MetaboLights study MTBLS397.
HCD characterization and regioisomer detection assays for this study can be found in the MetaboLights study MTBLS462.
Linked Studies: MTBLS391 MTBLS394 MTBLS397 MTBLS398 MTBLS462
OTHER RELATED OMICS DATASETS IN: PXD009709
INSTRUMENT(S): Orbitrap velos CID negative (Thermo Scientific), QTRAP 4000 negative (AB Sciex), Orbitrap velos HCD positive (Thermo Scientific), QTOF G6550A positive (Agilent), Orbitrap velos CID positive (Thermo Scientific), QTRAP 4000 positive (AB Sciex), Orbitrap elite positive (Thermo Scientific), QTOF G6550A negative (Agilent), QExactive positive (Thermo Scientific), QTRAP 6500 negative (AB Sciex), Orbitrap velos HCD negative (Thermo Scientific), QTRAP 6500 positive (AB Sciex), QExactive negative (Thermo Scientific), Orbitrap elite negative (Thermo Scientific)
SUBMITTER: Juergen Hartler
PROVIDER: MTBLS396 | MetaboLights | 2017-11-07
REPOSITORIES: MetaboLights
Action | DRS | |||
---|---|---|---|---|
MTBLS396 | Other | |||
FILES | Other | |||
a_MTBLS396_biol_OrbCID_N_mass_spectrometry.txt | Txt | |||
a_MTBLS396_biol_OrbCID_P_mass_spectrometry.txt | Txt | |||
a_MTBLS396_biol_OrbElite_N_mass_spectrometry.txt | Txt |
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Hartler Jürgen J Triebl Alexander A Ziegl Andreas A Trötzmüller Martin M Rechberger Gerald N GN Zeleznik Oana A OA Zierler Kathrin A KA Torta Federico F Cazenave-Gassiot Amaury A Wenk Markus R MR Fauland Alexander A Wheelock Craig E CE Armando Aaron M AM Quehenberger Oswald O Zhang Qifeng Q Wakelam Michael J O MJO Haemmerle Guenter G Spener Friedrich F Köfeler Harald C HC Thallinger Gerhard G GG
Nature methods 20171023 12
We achieve automated and reliable annotation of lipid species and their molecular structures in high-throughput data from chromatography-coupled tandem mass spectrometry using decision rule sets embedded in Lipid Data Analyzer (LDA; http://genome.tugraz.at/lda2). Using various low- and high-resolution mass spectrometry instruments with several collision energies, we proved the method's platform independence. We propose that the software's reliability, flexibility, and ability to identify novel l ...[more]