C-DEM: a multi-modal query system for Drosophila Embryo databases

The amount of biological data publicly available has experienced an exponential growth as the technology advances. Online databases are now playing an important role as information repositories as well as easily accessible platforms for researchers to communicate and contribute. Recent research projects in image bioinformatics produce a number of databases of images, which visualize the spatial expression pattern of a gene (eg. "fj"), and most of which also have one or several annotation keywords (eg., "embryonic hindgut"). C-DEM is an online system for Drosophila (= fruit-fly) Embryo images Mining. It supports queries from all three modalities to all three, namely, (a) genes, (b) images of gene expression, and (c) annotation keywords of the images. Thus, it can find images that are similar to a given image, and/or related to the desirable annotation keywords, and/or related to specific genes. Typical queries are what are most suitable keywords to assign to image i...

• Type: Journal
• Year: 2008
• Where: PVLDB
• Authors: Fan Guo, Lei Li, Christos Faloutsos, Eric P. Xing
• Keywords: Annotation Keywords, Embryonic Hindgut, Images, PVLDB 2008