Multifaceted data scattered among numerous repositories became a reverse of the medal in the postgenome era. Withstanding information pieces are aggressively crawling away, we proposed a Web-content management system–genoCMS. The system designed to “domesticate” data locally by sampling genes and re-annotating them in a user defined manner. Heat map visualization style was implemented in genoCMS to make it easier for user to inspect data coverage across a collection of genes. Using genoCMS, we have revisited the recently published data on large-scale transcriptome and proteome mining. Demonstration scenarios were implemented to illustrate the sortand- select workflow for distilling genes with desirable profiles of the features.