Genetics and Molecular Research 6 (4): 911-922 (2007) FUNPEC-RP www.funpecrp.com.br Sting_rdb: a relational database of structural parameters for protein analysis with support for data warehousing and data mining S.r.M. Oliveira, G.V. Almeida, K.r.r. Souza, d.N. rodrigues, P.r. Kuser-Falcão, M.E.b. Yamagishi, E.H. Santos, F.d. Vieira, J.G. Jardine and G. Neshich Embrapa Informática Agropecuária, Campinas, SP, Brasil Corresponding author: G. Neshich E-mail: neshich@cbi.cnptia.embrapa.br AbStrAct. An effective strategy for managing protein databases is to provide mechanisms to transform raw data into consistent, accurate and reliable information. Such mechanisms will greatly reduce opera- tional ineffciencies and improve one’s ability to better handle scientifc objectives and interpret the research results. To achieve this challeng- ing goal for the STING project, we introduce Sting_RDB, a relational database of structural parameters for protein analysis with support for data warehousing and data mining. In this article, we highlight the main features of Sting_RDB and show how a user can explore it for effcient and biologically relevant queries. Considering its importance for mo- lecular biologists, effort has been made to advance Sting_RDB toward data quality assessment. To the best of our knowledge, Sting_RDB is one of the most comprehensive data repositories for protein analysis, now also capable of providing its users with a data quality indicator. Genet. Mol. Res. 6 (4): 911-922 (2007) Received August 03, 2007 Accepted September 25, 2007 Published October 05, 2007