Bioinformatics forms an integral part of our value chain. While the main emphasis of the core laboratory is on the generation of high-quality sets of data, Bioinformatics starts with study planning in terms of statistical validation of experimental design and understanding of data-analysis requirements.
Once data have been generated a primary analysis is carried out to ensure that only good quality raw data are included in study reports .
Secondary analysis can then be carried out in order to convert raw data sets into enhanced biological meaning by means of bio-computational procedures and algorithms adequate to addressing the problem. Typical data processing procedures include hierarchical clustering, principal component analysis, or sequence assembly and annotation.
Tertiary analysis is carried out in order to integrate diverse data-sets, to enhance visual presentation of data, or for the analysis of pathways related to the data gathered in preceding steps.
Secondary and tertiary analysis will be customised to meet the requirements of a project. Each step will be guided by ongoing discussions with clients and collaborators.