Reference validator for mzTab 2.0-M
mzTab 2.0 for metabolomics is a data exchange format for mass-spectrometry-based experimental data from the "omics" and neighboring sciences, focusing on small molecules like metabolites and lipids.
- It is hierarchically organized, from metadata to summary information to ms features and evidence,
- captures quantitative and qualitative information about reported molecules for individual ms runs and aggregated across study variables,
- follows minimum recommended reporting guidelines for omics experiments, and
- provides structural, logical and semantic (controlled vocabulary terms) validation.
The spectral comparison score (SCS) algorithm provides a well-defined quality control approach for PRM based quantitation of lipid mediators. The score is based on the correlation between structural similarity and MS/MS fragmentation profile. All fragment ions above a user defined threshold are considered to calculate a score based on matching m/z and Spearman’s rank correlation between fragment intensities. SpeCS was developed to
1) process raw peak lists,
2) generate customized spectral libraries,
3) perform SCS calculations, and
4) help to identify quantifier ions.
A set of filters can be employed to delete background signals and/or select only fragments that fit the user-defined compositional constraints.
Download SpeCS v.0.7.
The new version enables now to utilize XReport (Xcalibur, Thermo) generated peak lists as import into SpeCS. Such generated peak lists can directly be used as Query in SpeCS without any modification (see also Readme-File).
Additionally, this release contains an updated library of LMs for the Q Exactive with 13 new lipid mediators.
GUI for the calculation of the Spectra Comparison Score (SCS). SpeCS is able to automatically filter peak lists by matching with a library of background or target mass lists. Peak lists are compared considering user definable settings for mass accuracy and intensity threshold settings. The calculation of the score is based on Spearman's rank correlation of matched signals.
Adam Wutkowskia, Matthias Krajewski, Navratan Bagwan, Mathias Schäfer, Bhesh R.Paudyal, Ulrich E. Schaible, Dominik Schwudke,
Analytica Chimica Acta (2018),doi:10.1016/j.aca.2018.01.044. originally published SpeCS version: v0.6 for Windows
Bioanalytical Chemistry - Research Center Borstel
Dr. Domink Schwudke - Research group leader
Dr. Adam Wutkowski - Research Center Borstel