Services
We can provide data analysis expertise in the following -omics areas:
- Contextualisation of data into ontological classes, biochemical and metabolic pathways and networks
- Construction of genetic and protein-protein interaction networks
- High dimensionality visualisation using custom and off the shelf tools
- Interpretation of transcriptomic and proteomic data in a clinical context (epidemiological or individual patients)
- LC-MS-MS experimental design
- Data collation and summation from large LC-MS-MS experiments
- Analysis of data from comparative studies using isotopic labels
- Univariate and multivariate statistical analysis of protein expression data from LC-MS-MS analysis and 2-D gels
- Interpretation and abstraction of protein identification data
- Extraction and normalization of data from 2-D gels to assay inter-experiment reproducibility
- Microarray experimental design – essential to ensure the analysis of adequate sample numbers and replicates to generate valid data
- Data extraction and normalization – to ensure inter-experiment reproducibility
- Univariate and multivariate statistical analysis of gene expression data – to find genes or groups of genes that are similarly or differentially expressed
- Genomic and EST sequence assembly, annotation and analysis
- Data interpretation in genetic context, including the Human Haplotype
- Data analysis, storage support and sequence analysis for new generation sequencing technology


