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.
- 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
- 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
- Informatics solutions to algorithm and database design, and information retrieval from public databases
- Grant and proposal development
- Implementation Services
- In-depth support for the development of new algorithms and software tools
- Analysis of complex data using in-house algorithms and tools
The initial consultation is provided free of charge. Additional assistance is available on a subcontract basis. The subcontract costs will be determined by the time and effort required.
For more information about bioinformatics services, please contact Xiuxia Du, PhD.
Last updated July 08, 2013