How to cite this Dataset
Lellman, Sophie and Cramer, Rainer (2024): Dataset to support LAP-MALDI MS profiling and identification of biomarkers for the detection of bovine tuberculosis. University of Reading. Dataset. https://doi.org/10.17864/1947.000443
Description
This dataset contains LAP MALDI MS profile data from 95 cattle nasal swabs, as well as MS/MS data performed in order to identify biomarkers detected in the MS profiles. Subsequent PCA and LDA analysis was performed, whose models are contained within this dataset alongside their respective cross-validation. An in-house built LAP-MALDI MS coupled to a Synapt G2-Si was used for all data acquisitions. All data presented was acquired between February 2022 and December 2022.
Resource Type: | Dataset |
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Creators: | Lellman, Sophie |
Rights-holders: | Crown |
Data Publisher: | University of Reading |
Publication Year: | 2024 |
Data last accessed: | 8 September 2024 |
DOI: | https://doi.org/10.17864/1947.000443 |
Metadata Record URL: | https://researchdata.reading.ac.uk/id/eprint/443 |
Organisational units: | Life Sciences > School of Chemistry, Food and Pharmacy > Department of Chemistry |
Participating Organisations: | University of Reading |
Keywords: | diagnostics, matrix assisted laser desorption ionisation (MALDI), mass spectrometry, bovine tuberculosis, bovine disease |
Rights: | |
Data Availability: | OPEN |