Gene expression experimentation can generate an overwhelming amount of data. Our data analysis service demystifies genomic data and helps researchers focus on a manageable number of genes of interest. In essence, we help researchers mine the data and isolate marginal genetic variations that can accelerate drug discovery and development. Array data is provided in a digital format for further analysis using genomic software analysis packages -- including normalization, data management, and data integration.
Our downstream data analysis includes:
Utilizing GeneSpring analysis tools our researchers work with researchers in academic, government, biotechnology and pharmaceutical organizations to focus on promising targets, explore interesting genes, characterize novel expression patterns, ensure data quality and compare expression data from multiple platforms.
- Customized analysis and explanation of genomic data
- Data mining
- Integrated analyses of sequence and expression data
- Cross-reference of public genomic databases
- Pathway analysis
- Gene ontology
- Mechanistic analysis
Our researchers are here to work with you before, during and after your experiment to make sure that every step is optimized and your data is fully mined for insight.
Register or call for a sample of the type of reporting and analysis done by our researchers.