PubMed HealthSearch

PubMed · 8725770

A graph conceptual model for developing Human Genome Center databases.

Abstract

We have developed a representation of genome data which has proven itself useful for describing data at a Human Genome Center. Genomic data have a graph-like structure and representing the concepts and relationships of genetics as a graph simplifies the development of databases for genome laboratories. Graphs are a comfortable communication medium for biologists and computer scientists and graph diagrams assist in the development of databases by facilitating the exchange of expertise. We have tailored a graph language for modeling genomic data and describe our process of using graphs to develop genome databases.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

M Graves, E R Bergeman, C B Lawrence. 1996. A graph conceptual model for developing Human Genome Center databases.. https://doi.org/10.1016/0010-4825(95)00053-4

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

The influence of depicted illumination on brightness.

The striking illusions produced by simultaneous brightness contrast generally are attributed to the center-surround receptive field organization of lower order neurons in the primary visual pathway. Here we show that the apparent brightness of test objects can be either increased or decreased in a predictable manner depending on how light and shadow are portrayed in the scene. This evidence suggests that perceptions of brightness are generated empirically by experience with luminance relationships, an idea whose implications we pursue in the accompanying paper.

Computer Graphics

The application of volume deformation to three-dimensional facial reconstruction: a comparison with previous techniques.

Facial reconstruction has been widely criticised for its subjective nature and is thus often viewed as a last resort. Recent computer-aided reconstructions, which claim to be objective, may be subject to similar errors. To date, both manual reconstructions and computer-aided techniques have been limited to using the same tissue depth data reference tables. We propose that it is not solely the accuracy of the soft tissue depth data, but the sparsity of landmarks, which contributes to a lack of understanding of how soft tissue changes between the landmarks. The authors feel that a new approach to facial reconstruction using a computer graphics technique known as volume deformation addresses some of the problems encountered in the past. A review of previous methods is provided with discussion of the strengths and limitations of these techniques. In addition, areas are highlighted where the new deformation-based approach may offer possible solutions.

Computer Graphics