Omics technologies generate a large amount of data of various types, and their huge diversity in postgenomic era imposes the need to identify a useful functional flow connected to other resources already existed to enable more accurate discovery and selection of cancer potential biomarker candidates selection. On the other hand the biomarker discovery and validation (BMDV) studies presumed long-term and cost experiments. In order to reduce expenses due to exploration of the overwhelming research steps and to optimize the BMDV experimental design, we proposed a curation protocol applicable to the discovery of potential cancer biomarker candidates.
