Email updates

Keep up to date with the latest news and content from BMC Bioinformatics and BioMed Central.

Open Access Highly Accessed Methodology article

Booly: a new data integration platform

Long H Do1*, Francisco F Esteves1, Harvey J Karten2 and Ethan Bier1*

Author Affiliations

1 Section of Cell and Developmental Biology, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0349, USA

2 Departments of Neurosciences and Psychiatry, School of Medicine, University of California, San Diego, La Jolla, California 92093-0608, USA

For all author emails, please log on.

BMC Bioinformatics 2010, 11:513  doi:10.1186/1471-2105-11-513

Published: 13 October 2010

Abstract

Background

Data integration is an escalating problem in bioinformatics. We have developed a web tool and warehousing system, Booly, that features a simple yet flexible data model coupled with the ability to perform powerful comparative analysis, including the use of Boolean logic to merge datasets together, and an integrated aliasing system to decipher differing names of the same gene or protein. Furthermore, Booly features a collaborative sharing system and a public repository so that users can retrieve new datasets while contributors can easily disseminate new content.

Results

We illustrate the uses of Booly with several examples including: the versatile creation of homebrew datasets, the integration of heterogeneous data to identify genes useful for comparing avian and mammalian brain architecture, and generation of a list of Food and Drug Administration (FDA) approved drugs with possible alternative disease targets.

Conclusions

The Booly paradigm for data storage and analysis should facilitate integration between disparate biological and medical fields and result in novel discoveries that can then be validated experimentally. Booly can be accessed at http://booly.ucsd.edu webcite.