An integrated bioinformatic analytical pipeline to automate the identification of novel candidate cancer markers/targets by means of analysing the expression of user-supplied gene lists across a manually curated database of 80 publicly available cancer microarray datasets and 13 cancer types. Such a meta-analysis enhances reliability and generalizability of the analysis results and leads to a more precise estimate of gene expression. Furthermore, the pipeline facilitates automated, homogeneous and reproducible analysis across a large number of datasets, and establishing a simple-to-use online web interface to access the pipeline puts specialist meta-analyses in the hands of biologists.
North West Cancer Research Fund Institute, Bangor University, Bangor, Gwynedd, UK; Institute for Genomics and Bioinformatics, Graz University of Technology, Graz, Austria; NISCHR Cancer Genetics Biomedical Research Unit, Bangor University, Bangor, Gwynedd, UK; Cranfield Health, Cranfield University, Cranfield, Bedfordshire, UK
CancerMA funding source(s)
The Welsh National Institute for Social Care and Health Research (NISCHR) (HS/09/008); North West Cancer Research Fund grant (NWCRF) (CR888)