Title :
A graph-theoretic data model for genome mapping databases
Author :
Graves, Mark ; Bergeman, Ellen R. ; Lawrence, Charles B.
Author_Institution :
Dept. of Cell Biol., Baylor Coll. of Med., Houston, TX, USA
Abstract :
Graphs are a natural foundation for genome map databases. Mapping and other genomic data can be clearly represented by graphs, and graphs can be stored in a database. Graphs are defined as a collection of nodes and arcs and can represent genomic objects and relationships between them. Mapping databases are needed to store the rapidly growing amount of mapping data. These databases must store the information contained in both published maps and laboratory notebooks. We describe a graph database which can store mapping data directly as graphs and formalize it as a graph-theoretic data model
Keywords :
biology computing; data structures; database management systems; genetics; graph theory; arcs; genome map databases; genome mapping databases; genomic data; genomic objects; graph database; graph-theoretic data model; laboratory notebooks; mapping data; nodes; Bioinformatics; Biological cells; Data models; Educational institutions; Genetics; Genomics; Humans; Laboratories; Relational databases; Vegetation mapping;
Conference_Titel :
System Sciences, 1995. Proceedings of the Twenty-Eighth Hawaii International Conference on
Conference_Location :
Wailea, HI
Print_ISBN :
0-8186-6930-6
DOI :
10.1109/HICSS.1995.375353