Bioinformatics

Concierge Home | Bioinformatics | Biostatistics | Clinical Research | Metabolomics

Investigation and comparison of normal and abnormal metabolisms are critical for nutrition and obesity research. One of the approaches to studying metabolism is to conduct metabolomics and systems biology studies. Generally, researchers use two types of metabolomics methods, metabolic profiling and targeted metabolomics. Both methods usually generate complex data. As a result, computational algorithms and informatics capability are needed to process data in order to assign biological meaning.


Services

Computational Algorithms
Identification and quantification of metabolites, requiring the application of signal processing techniques
Extraction of information on low-concentration nutrient-related metabolites
Identification and quantification of them demand highly sensitive computational algorithms
Separation of exogenous metabolites (nutrients) from endogenous metabolites, requiring applications of machine-learning algorithms and pattern recognition methods
Comparative metabolomics, including univariate and multivariate statistical analyses are usually needed for the comparison
Systems biology research involving integration of multiple types of -omics data and mathematical modeling of biological pathways
Proper experimental design is critical for making sure that data generated from the experiments will be sufficiently powerful for drawing statistically sound conclusions

Informatics Capability
Fast and efficient computational algorithms for processing and analyzing large volume of data
Efficient database design for managing complex datasets
Automatic information retrieval via the Internet from databases that contain information on genes, proteins and metabolites

Consultation Services
Informatics solutions to algorithm and database design, and information retrieval from public databases
Grant and proposal development
Metabolomics data analysis, including identification and quantification of metabolites and appropriate existing software tools to use
Proteomics data analysis, including identification and quantification of proteins and appropriate existing software tools to use
Systems biology research regarding integration of multiple types of -omics data and mathematical modeling of biological pathways

Implementation Services
In-depth support for the development of new algorithms and software tools
Analysis of complex data using in-house algorithms and tools


Contact

Xiuxia Du, PhD, Bioinformatics Concierge

Assistant Professor
Department of  Bioinformatics & Genomics/UNC Charlotte
T: (704) 250-5754
E: xiuxia.du@uncc.edu


Service Request Form
To request bioinformatics concierge services, please complete the online service request form.