Our work is concerned with the application of methods from the field of statistics, econometrics and machine learning. The focus of our research is on forecasting, financial econometrics, and time series analysis. We use state-of-the-art methods to answer our research questions. These methods include adaptive group lasso methods for efficient estimation of structural breaks in cointegrating regressions, mixed-frequency (sparse) dynamic factor models for GDP nowcasting, or spatio-temporal panel models for modeling crime counts on a regional level, to name a few. In addition to applied work, we also focus on developing new econometric methods through simulations and theoretical studies. We also have expertise in the prediction and analysis of cross-sectional, panel and experimental data. We use a mix of classical models such as e.g. linear regression analysis, ANOVA and logit models, or more advanced methods such as generalised linear mixed models and survival analysis, as well as machine learning models such as regularised regression (ridge, LASSO, elastic net) and random forests. Upon request, we are also happy to develop individual models tailored to the customer’s needs.
It is essential to characterize and quantify the composition of various samples. We can identify and measure specific compounds, elements and contaminants in different matrices. Our expertise lies in analyzing a wide range of matrices, such as:
Through our comprehensive understanding of analytical techniques we can offer services from competent and professional advice in the selection of a suitable parameter for the experiment, a suitable analysis method to further or new development of innovative analysis methods. Our goal is to support the research groups on campus with the latest technologies and flawless results in their work.
The Core Facility Hohenheim (CFH) provides mass spectrometry services for metabolome quantification as well as identification and quantification of metabolites and small organic molecules. Services are offered for research groups of the University of Hohenheim and external clients. We apply state-of-the-art LC systems coupled to Orbitrap and QTRAP mass spectrometers to perform non-targeted and targeted LC-ESI-MS/MS experiments for metabolite and small molecule analysis (see “Instrumentation (PDF)”). Metabolite identification, quantitative analyses and visualization can be performed using several software tools (“Software (PDF)”). The CFH metabolomics services cover, among others, the following areas:
If methods are not yet available, customized mass spectrometry methods may be established on demand. The CFH metabolomics services cover a complete workflow including consultation, sample preparation, mass spectrometry analysis, data processing and analysis as well as statistical and initial bioinformatics analysis. Visualization and interpretation of highly complex metabolomics data sets can be supported by the CFH Bioinformatics Unit. Consultation comprises individual requirements for your research projects such as experimental design, suitable sample preparation and mass spectrometry methods, questions concerning costs and time frame as well as individual communication of the obtained results. We highly recommend to discuss your research project with the CFH personnel beforehand (contact us), to ensure that best results can be achieved by the metabolomics analysis. In addition, the CFH supports research groups in grant applications by cost calculations and letters of support. Please arrange an individual appointment for a consultation.
Find here a list of nutrients and other organic compounds we offer to analyse:
The Core Facility Hohenheim (CFH) provides mass spectrometry services for proteome quantification as well as identification and quantification of proteins, peptides and post-translational protein modifications. Services are offered for research groups of the University of Hohenheim and external clients. We apply state-of-the-art nano-LC and LC systems coupled to Orbitrap and QTRAP mass spectrometers to perform LC-ESI-MS/MS experiments for protein analysis (see “Instrumentation (PDF)”). Data base searches for protein identifications, quantitative data analyses and visualization can be performed using several software tools (“Software (PDF)”). The CFH proteomics services cover (but are not restricted to) the following techniques:
If methods are not yet available, customized mass spectrometry methods may be established on demand. The CFH proteomics services cover a complete workflow including consultation, sample preparation, mass spectrometry analysis, data processing and analysis as well as statistical and initial bioinformatics analysis. Visualization and interpretation of highly complex proteomics data sets can be supported by the CFH Bioinformatics Unit. Consultation comprises individual requirements for your research projects such as experimental design, suitable sample preparation and mass spectrometry methods, questions concerning costs and time frame as well as individual communication of the obtained results. We highly recommend to discuss your research project with the CFH personnel beforehand (contact us), to ensure that best results can be achieved by the proteomics analysis. In addition, the CFH supports research groups in grant applications by cost calculations and letters of support. Please arrange an individual appointment for a consultation.
Find here a complete list of parameters and analysis fields we provide: