Managing biological data using bdbms

Mohamed Y. Eltabkh, Mourad Ouzzani, Walid G. Aref, Ahmed K. Elmagarmid, Yasin Laura-Silva, Muhammad U. Arshad, David Salt, Ivan Baxter

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

17 Citations (Scopus)


We demonstrate bdbms, an extensible database engine for biological databases. bdbms started on the observation that database technology has not kept pace with the specific requirements of biological databases and that several needed key functionalities are not supported at the engine level. While bdbms aims at supporting several of these functionalities, this demo focuses on: (1) Annotation and provenance management including storage, indexing, querying, and propagation, (2) Local dependency tracking of dependencies and derivations among data items, and (3) Update authorization to support data curation. We demonstrate how bdbms enables biologists to manipulate their databases, annotations, and derivation information in a unified database system using the Purdue Ionomics Information Management System (PiiMS) as a case study.

Original languageEnglish
Title of host publication2008 IEEE 24th International Conference on Data Engineering, Vols 1-3
Place of PublicationNew York
PublisherIEEE Press
Number of pages4
ISBN (Print)978-1-4244-1836-7, 1424418364
Publication statusPublished - 2008
Event24th IEEE International Conference on Data Engineering - Cancun
Duration: 7 Apr 200812 Apr 2008


Conference24th IEEE International Conference on Data Engineering


Dive into the research topics of 'Managing biological data using bdbms'. Together they form a unique fingerprint.

Cite this