Title
BioWarehouse: a bioinformatics database warehouse toolkit.
Abstract
Background: This article addresses the problem of interoperation of heterogeneous bioinformatics databases. Results: We introduce BioWarehouse, an open source toolkit for constructing bioinformatics database warehouses using the MySQL and Oracle relational database managers. BioWarehouse integrates its component databases into a common representational framework within a single database management system, thus enabling multi-database queries using the Structured Query Language (SQL) but also facilitating a variety of database integration tasks such as comparative analysis and data mining. BioWarehouse currently supports the integration of a pathway-centric set of databases including ENZYME, KEGG, and BioCyc, and in addition the UniProt, GenBank, NCBI Taxonomy, and CMR databases, and the Gene Ontology. Loader tools, written in the C and JAVA languages, parse and load these databases into a relational database schema. The loaders also apply a degree of semantic normalization to their respective source data, decreasing semantic heterogeneity. The schema supports the following bioinformatics datatypes: chemical compounds, biochemical reactions, metabolic pathways, proteins, genes, nucleic acid sequences, features on protein and nucleic-acid sequences, organisms, organism taxonomies, and controlled vocabularies. As an application example, we applied BioWarehouse to determine the fraction of biochemically characterized enzyme activities for which no sequences exist in the public sequence databases. The answer is that no sequence exists for 36% of enzyme activities for which EC numbers have been assigned. These gaps in sequence data significantly limit the accuracy of genome annotation and metabolic pathway prediction, and are a barrier for metabolic engineering. Complex queries of this type provide examples of the value of the data warehousing approach to bioinformatics research. Conclusion: BioWarehouse embodies significant progress on the database integration problem for bioinformatics.
Year
DOI
Venue
2006
10.1186/1471-2105-7-170
BMC Bioinformatics
Keywords
Field
DocType
genome annotation,enzyme activity,database management systems,controlled vocabulary,comparative analysis,computational biology,data warehousing,database management,metabolic pathway,algorithms,signal transduction,bioinformatics,database integration,relational database,protein engineering,microarrays,proteins,semantics,database management system,enzyme,structured query language,data mining,metabolic engineering
Data warehouse,Computer science,Interoperation,Software,Bioinformatics,Semantic heterogeneity,NCBI Taxonomy
Journal
Volume
Issue
ISSN
7
1
1471-2105
Citations 
PageRank 
References 
102
3.70
22
Authors
7
Search Limit
100102
Name
Order
Citations
PageRank
Thomas J. Lee135324.14
Y Pouliot21477.69
Valerie Wagner31044.13
Priyanka Gupta41277.39
David W. J. Stringer-Calvert51306.06
Jessica D. Tenenbaum617612.40
Peter D. Karp71974622.10