An integrative approach to ortholog prediction for disease-focused and other functional studies
1 Drosophila RNAi Screening Center, Department of Genetics, Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA
2 Endocrine Unit, Massachusetts General Hospital, 50 Blossom Street, Boston MA 02114, USA
3 Math Department and Computer Science and Artificial Intelligence Laboratory, MIT, 77 Massachusetts Avenue, Cambridge, MA 02139, USA
4 Howard Hughes Medical Institute, 77 Avenue Louis Pasteur, Boston, MA 02115, USA
BMC Bioinformatics 2011, 12:357 doi:10.1186/1471-2105-12-357Published: 31 August 2011
Mapping of orthologous genes among species serves an important role in functional genomics by allowing researchers to develop hypotheses about gene function in one species based on what is known about the functions of orthologs in other species. Several tools for predicting orthologous gene relationships are available. However, these tools can give different results and identification of predicted orthologs is not always straightforward.
We report a simple but effective tool, the
Drosophila RNAi Screening Center
DIOPT and DIOPT-DIST are useful resources for researchers working with model organisms, especially those who are interested in exploiting model organisms such as Drosophila to study the functions of human disease genes.