Items where Author is "Cramer, Rainer"

Dataset

Adair, Lily R. and Cramer, Rainer (2024): Dataset to support 'LAP-MALDI MS analysis of amelogenin from teeth for biological sex estimation'. University of Reading. Dataset. https://researchdata.reading.ac.uk/id/eprint/1331

Challen, Bob, Adair, Lily R. and Cramer, Rainer (2024): Dataset to support 'Liquid atmospheric pressure matrix-assisted laser desorption/ionization (LAP-MALDI) mass spectrometry using a commercial ion source and Orbitrap mass analyzer'. University of Reading. Dataset. https://doi.org/10.17864/1947.001326

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

Challen, Bob and Cramer, Rainer (2023): Data supporting 'Ultrahigh-throughput and low-volume analysis of intact proteins with LAP-MALDI MS'. University of Reading. Dataset. https://doi.org/10.17864/1947.000456

Adair, Lily R. and Cramer, Rainer (2023): Dataset to support improved peptide and protein database search scores in chimeric MS/MS spectra. University of Reading. Dataset. https://doi.org/10.17864/1947.000476

Piras, Cristian and Cramer, Rainer (2021): Liquid Atmospheric Pressure MALDI MS for high-throughput diagnosis and antibiotic resistance detection. University of Reading. Dataset. https://researchdata.reading.ac.uk/id/eprint/279

Krenkel, Henriette and Cramer, Rainer (2021): Ultrahigh-throughput LAP-MALDI MS analysis of peptides and an enzyme assay. University of Reading. Dataset. https://doi.org/10.17864/1947.000338

Piras, Cristian and Cramer, Rainer (2020): MALDI MS-based analysis of Puccinia komarovii var. glanduliferae-infected Impatiens glandulifera leaves. University of Reading. Dataset. https://researchdata.reading.ac.uk/id/eprint/238

Piras, Cristian and Cramer, Rainer (2020): Rapid liquid AP-MALDI MS profiling of lipids and proteins from goat and sheep milk for speciation and colostrum analysis. University of Reading. Dataset. https://doi.org/10.17864/1947.247

Piras, Cristian and Cramer, Rainer (2020): Speciation and adulteration analysis of milk by liquid AP-MALDI MS profiling. University of Reading. Dataset. https://doi.org/10.17864/1947.232

Hale, Oliver and Cramer, Rainer (2019): Dataset to support AP-MALDI native ion mobility-mass spectrometry using liquid samples. University of Reading. Dataset. https://doi.org/10.17864/1947.230

Lellman, Sophie and Cramer, Rainer (2019): Dataset to support lipid profiling of bacteria using liquid AP-MALDI MS. University of Reading. Dataset. https://doi.org/10.17864/1947.221

Hale, Oliver, Ryumin, Pavel and Cramer, Rainer (2018): Dataset supporting research into the production and analysis of multiply charged negative ions by atmospheric pressure matrix-assisted laser desorption/ionisation mass spectrometry. University of Reading. Dataset. https://doi.org/10.17864/1947.144

Hale, Oliver and Cramer, Rainer (2018): Dataset to support liquid AP-MALDI MS profiling for mastitis detection. University of Reading. Dataset. https://doi.org/10.17864/1947.169

Ryumin, Pavel and Cramer, Rainer (2017): Dataset supporting a project of developing and optimising sample preparation in liquid AP-MALDI. University of Reading. Dataset. https://doi.org/10.17864/1947.102

Hale, Oliver and Cramer, Rainer (2017): Dataset supporting collision-induced dissociation of doubly-charged barium-cationized lipids by AP-MALDI MS. University of Reading. Dataset. https://doi.org/10.17864/1947.130

Ryumin, Pavel and Cramer, Rainer (2016): Dataset supporting a project of developing a nanoHPLC-MALDI MS/MS workflow employing CID of multiply charged proteolytic peptides for bottom-up proteomics. University of Reading. Dataset. https://doi.org/10.17864/1947.74