Data Management Tools for Scientific Applications: Framework, Status, and Genomic Applications

Data management systems for scientific (e.g., genomic) applications provide scientists with facilities for maintaining, manipulating and analyzing data. These systems usually employ capabilities provided by database management systems (DBMSs) for storing, accessing, and manipulating data, and often need facilities for handling application-specific constructs and operations that are not supported by DBMSs. The mismatch between the application and DBMS constructs and operations is the main cause for the difficulty of developing and maintaining data management systems for scientific applications, as well as adapting these systems to structural changes entailed by the evolution of the underlying applications.

[1]  Victor M. Markowitz.  Safe Referential Integrity Structures in Relational Databases , 1991, VLDB.

[2]  Ramez Elmasri,et al.  A graphical data manipulation language for an extended entity-relationship model , 1990, Computer.

[3]  Johann A. Makowsky,et al.  Identifying Extended Entity-Relationship Object Structures in Relational Schemas , 1990, IEEE Trans. Software Eng..

[4]  Dennis McLeod,et al.  A federated architecture for information management , 1985, TOIS.

[5]  Arie Shoshani,et al.  Representing extended entity-relationship structures in relational databases: a modular approach , 1992, TODS.

[6]  Arie Shoshani,et al.  CABLE: A language based on the entity-relationship model , 1978 .

[7]  Arie Shoshani,et al.  Object queries over relational databases: Language, implementation, and applications , 1993, Proceedings of IEEE 9th International Conference on Data Engineering.

[8]  Eugene Miya,et al.  On "Software engineering" , 1985, SOEN.

[9]  Amihai Motro,et al.  Superviews: Virtual Integration of Multiple Databases , 1987, IEEE Transactions on Software Engineering.

[10]  Kathi Hogshead Davis,et al.  Converting A Relational Database Model into an Entity-Relationship Model , 1987, ER.

[11]  Peter P. Chen.  The entity-relationship model: toward a unified view of data , 1975, VLDB '75.

[12]  Johann A. Makowsky,et al.  Incremental restructuring of relational schemas , 1988, Proceedings. Fourth International Conference on Data Engineering.

[13]  Victor M. Markowitz,et al.  Data Management for Genomic Mapping Applications: A Case Study , 1992, SSDBM.

[14]  Victor M. Markowitz,et al.  ERROL: An Entity-Relationship, Role Oriented, Query Language , 1983, ER.

[15]  LINDA G. DEMICHIEL,et al.  Resolving Database Incompatibility: An Approach to Performing Relational Operations over Mismatched Domains , 1989, IEEE Trans. Knowl. Data Eng..

[16]  James A. Larson,et al.  A tool for integrating conceptual schemas and user views , 1988, Proceedings. Fourth International Conference on Data Engineering.

[17]  Victor M. Markowitz,et al.  Problems Underlying the Use of Referential Integrity in Relational Database Management Systems , 1991, ICDE.

[18]  Marco A. Casanova,et al.  Mapping Uninterpreted Schemes into Entity-Relationship Diagrams: Two Applications to Conceptual Schema Design , 1984, IBM J. Res. Dev..