FlyMine: an integrated database for Drosophila and Anopheles genomics

Rachel Lyne¹ , Richard Smith¹ , Kim Rutherford¹ , Matthew Wakeling¹ , Andrew Varley¹ , Francois Guillier¹ , Hilde Janssens¹ , Wenyan Ji¹ , Peter Mclaren¹ , Philip North¹ , Debashis Rana¹ , Tom Riley¹ , Julie Sullivan¹ , Xavier Watkins¹ , Mark Woodbridge¹ , Kathryn Lilley² , Steve Russell¹ , Michael Ashburner¹ , Kenji Mizuguchi²^,3^,4 and Gos Micklem¹^,3

¹Department of Genetics, University of Cambridge, Cambridge, CB2 3EH, UK

²Department of Biochemistry, University of Cambridge, Cambridge, CB2 1GA, UK

³Cambridge Computational Biology Institute, Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, CB3 OWA, UK

⁴National Institute of Biomedical Innovation 7-6-8 Saito-Asagi, Ibaraki, Osaka 567-0085, Japan

author email corresponding author email

Genome Biology 2007, 8:R129doi:10.1186/gb-2007-8-7-r129


Published:	5 July 2007

Subject areas: Bioinformatics, Genome studies

Abstract

FlyMine is a data warehouse that addresses one of the important challenges of modern biology: how to integrate and make use of the diversity and volume of current biological data. Its main focus is genomic and proteomics data for Drosophila and other insects. It provides web access to integrated data at a number of different levels, from simple browsing to construction of complex queries, which can be executed on either single items or lists.