Biological sequences integrated: A relational database approach

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Item Type:	Article
Title:	Biological sequences integrated: A relational database approach
Creators Name:	Bergholz, A., Heymann, S., Schenk, J.A. and Freytag, J.C.
Abstract:	Over the last decade the modeling and the storage of biological data has been a topic of wide interest for scientists dealing with biological and biomedical research. Currently most data is still stored in text files which leads to data redundancies and file chaos. In this paper we show how to use relational modeling techniques and relational database technology for modeling and storing biological sequence data, i.e. for data maintained in collections like EMBL or SWlSS-PROT to better serve the needs for these application domains. For this reason we propose a two step approach. First, we model the structure (and therefore the meaning of the) data using an Entity-Relationship approach. The ER model leads to a clean design of a relational database schema for storing and retrieving the DNA and protein data extracted from various sources. Our approach provides the clean basis for building complex biological applications that are more amenable to changes and software ports than their file-base counterparts.
Keywords:	Computational Biology, Computer Simulation, Factual Databases
Source:	Acta Biotheoretica
ISSN:	0001-5342
Publisher:	Kluwer Academic Publishers
Volume:	49
Number:	3
Page Range:	145-159
Date:	1 January 2001
Official Publication:	https://doi.org/10.1023/A:1011958524279
PubMed:	View item in PubMed

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