Modeling comparative mapping using objects and associations

Abstract

Spatial information on genome organization is essential for both gene prediction and annotation among species and a better understanding of genomes functioning and evolution. We propose in this article an object-association model to formalize comparative genomic mapping. This model is being implemented in the GeMCore knowledge base, for which some original capabilities are described. GeMCore associated to the GeMME graphical interface for molecular evolution was used to spatially characterize the minor shift phenomenon between human and mouse.