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

fYear

2005

fDate

6-6 Jan. 2005

Firstpage

189

Lastpage

192

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Systems and Applications, 2005. The 3rd ACS/IEEE International Conference on

Conference_Location

Cairo

Print_ISBN

0-7803-8735-X

Type

conf

DOI

10.1109/AICCSA.2005.1387039

Filename

1387039