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MetabolomicsMetabolite Standards for the development and validation of MassCascade
A collection of biologically-relevant plant metabolite standards. The standards are fully semantically annotated with peak information, ChEBI identifiers, and chemical ontology. The standards were acquired on on a high-resolution LC-MS/MS Orbitrap instrument.
2014-02-07 | MTBLS38 | MetaboLights
MetabolomicsHUMAN Ring Trial - Standards detection - Reverse phase

To better understand the effect of different LC-MS setups on metabolite detection, five laboratories analyzed 1298 standard compounds obtained from the MetaSci metabolite standard library, classified as 'Human Endosome' (HE), 'Food Exposome' (FE), 'Chemical Exposome' (CE), 'Microbiota Exposome' (...

2026-04-24 | MTBLS14343 | MetaboLights
MetabolomicsCorrelation-based Deconvolution (CorrDec) to generate high quality MS2 spectra from data independent acquisition in multi-sample studies (Chemical standards assay)

Data-independent acquisition mass spectrometry (DIA-MS) is essential for information-rich spectral annotations in untargeted metabolomics. However, the acquired MS2 spectra are highly complex, posing significant annotation challenges. We have developed a correlation-based deconvolution (CorrDec) ...

2020-07-13 | MTBLS787 | MetaboLights
MetabolomicsA combined direct infusion/reversed phase chromatography – high resolution mass spectrometry workflow for accurate absolute lipid quantification with 13C- internal standards
We propose a fully automated novel workflow for lipidomics based on flow injection, followed by liquid chromatography-high-resolution mass spectrometry (FI/LC-HRMS). The workflow combined in-depth characterization of the lipidome achieved via reversed-phase LC-HRMS with absolute quantification by us...
2021-07-01 | MTBLS1876 | MetaboLights
MetabolomicsLipid Data Analyzer: Discrimination of structurally isomeric pairs of lipid standards (Control experiment 3)
Lipid Data Analyzer (LDA; http://genome.tugraz.at/lda2) provides automated and reliable annotation of lipid species and their molecular structures in high-throughput data from chromatography-coupled tandem mass spectrometry using embedded rule sets. Using various low- and high-resolution mass spectr...
2017-11-07 | MTBLS398 | MetaboLights
MetabolomicsLipid Data Analyzer: Discrimination of isobaric pairs of lipid standards from different lipid subclasses (Control experiment 2)
Lipid Data Analyzer (LDA; http://genome.tugraz.at/lda2) provides automated and reliable annotation of lipid species and their molecular structures in high-throughput data from chromatography-coupled tandem mass spectrometry using embedded rule sets. Using various low- and high-resolution mass spectr...
2017-10-27 | MTBLS391 | MetaboLights
MetabolomicsTargeted Microchip Capillary Electrophoresis-Orbitrap Mass Spectrometry Metabolomics to Monitor Ovarian Cancer Progression (calibration standards)
Not available
ST002136 | MetabolomicsWorkbench
TranscriptomicsComparison of systematic sequencing errors using spike-in standards
While the importance of random sequencing errors decreases at higher DNA or RNA sequencing depths, systematic sequencing errors (SSEs) dominate at high sequencing depths and can be difficult to distinguish from biological variants. These SSEs can cause base quality scores to underestimate the proba...
ORGANISM(S): Homo sapiens 
2012-03-03 | E-GEOD-36217 | biostudies-arrayexpress
MetabolomicsLipid Data Analyzer: Decision rule set development by lipid standards of known constituent fatty acyl and/or alkyl/1-alkenyl chains and their respective sn-positions (Control experiment 1)

Lipid Data Analyzer (LDA; http://genome.tugraz.at/lda2) provides automated and reliable annotation of lipid species and their molecular structures in high-throughput data from chromatography-coupled tandem mass spectrometry using embedded rule sets. Using various low- and high-resolution mass spe...

2017-10-27 | MTBLS394 | MetaboLights
GenomicsReference DNA standards for GCLP pipeline
The use of reference DNA standards generated from cancer cell lines sequenced in the Cancer Genome Project to establish the sensitivity, specificity, accuracy and reproducibility of the WTSI GCLP sequencing pipeline
EGAS00001001173 | EGA
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