Tobias Müller

Biozentrum University of Würzburg, Würzburg, Bayern, Germany 
"Tobias Müller"
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Luther CH, Brandt P, Vylkova S, et al. (2023) Integrated analysis of SR-like protein kinases Sky1 and Sky2 links signaling networks with transcriptional regulation in . Frontiers in Cellular and Infection Microbiology. 13: 1108235
Vogg N, Müller T, Floren A, et al. (2023) Simplified urinary steroid profiling by LC-MS as diagnostic tool for malignancy in adrenocortical tumors. Clinica Chimica Acta; International Journal of Clinical Chemistry. 543: 117301
Vogg N, Müller T, Floren A, et al. (2022) Targeted metabolic profiling of urinary steroids with a focus on analytical accuracy and sample stability. Journal of Mass Spectrometry and Advances in the Clinical Lab. 25: 44-52
Urban L, Remmele CW, Dittrich M, et al. (2020) covRNA: discovering covariate associations in large-scale gene expression data. Bmc Research Notes. 13: 92
Page L, Weis P, Müller T, et al. (2018) Evaluation of Aspergillus and Mucorales specific T-cells and peripheral blood mononuclear cell cytokine signatures as biomarkers of environmental mold exposure. International Journal of Medical Microbiology : Ijmm
Ampattu BJ, Hagmann L, Liang C, et al. (2017) Transcriptomic buffering of cryptic genetic variation contributes to meningococcal virulence. Bmc Genomics. 18: 282
Czakai K, Dittrich M, Kaltdorf M, et al. (2016) Influence of Platelet-rich Plasma on the immune response of human monocyte-derived dendritic cells and macrophages stimulated with Aspergillus fumigatus. International Journal of Medical Microbiology : Ijmm
Fiedler J, Breckwoldt K, Remmele CW, et al. (2015) Development of Long Noncoding RNA-Based Strategies to Modulate Tissue Vascularization. Journal of the American College of Cardiology. 66: 2005-15
Remmele CW, Luther CH, Balkenhol J, et al. (2015) Integrated inference and evaluation of host-fungi interaction networks. Frontiers in Microbiology. 6: 764
Boyanova D, Nilla S, Klau GW, et al. (2014) Functional module search in protein networks based on semantic similarity improves the analysis of proteomics data. Molecular & Cellular Proteomics : McP. 13: 1877-89
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