Title :
Incorporating concepts for bioingormatics data modeling into EER models
Author :
Ji, Feng ; Elmasri, Ramez ; Zhang, Yiming ; Ritesh, B. ; Raja, Zoe
Author_Institution :
Dept. of Comput. Sci. & Eng., Texas Univ., Arlington, TX
Abstract :
Summary form only given. Biological data such as nucleic acids (DNA or RNA), proteins, and pathways require certain conceptual modeling characteristics that are not available in the popular ER (entity-relationship) model and its variations, such as the EER (extended-ER) models. In this paper, we try to make minimal changes to the EER model by introducing special relationships for ordering and process input/output. This allows more accurate modeling of bioinformatics structures that can be used in bioinformatics ontologies and mediator systems. We propose some EER schemas for DNA sequence ordering, the structures of proteins, and pathway processes
Keywords :
DNA; biology computing; entity-relationship modelling; proteins; DNA pathway; DNA sequence ordering; EER model; EER models; bioinformatics data modeling; bioinformatics ontologies; bioinformatics structure modeling; entity-relationship model; mediator systems; protein structures; Bioinformatics; Biological system modeling; DNA; Data models; Databases; Erbium; Ontologies; Proteins; RNA; Sequences;
Conference_Titel :
Computer Systems and Applications, 2005. The 3rd ACS/IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
0-7803-8735-X
DOI :
10.1109/AICCSA.2005.1387039
