The DRSC is pleased to announce that our DIOPT and DIOPT-DIST tools for ortholog search now include Xenopus and S. pombe in addition to fly, worm, S. cerevisiae, zebrafish, mouse and human. We added these two new species in response to community feedback.
What's the difference between DIOPT and DIOPT-DIST?
DIOPT lets you search for orthologs for any pair of species (e.g. zebrafish orthologs of fly genes, or yeast orthologs of a mouse gene). Results from 10 different public tools/alorithms are shown.
DIOPT-DIST lets you search using any of the non-human species we report, and view not just putative human orthologs but also connections between those human orthologs and disease. Alternatively, you can start with a disease, view human genes associated with that disease and orthologs of those human genes in a given species of interest.
If you use these tools, please cite our paper: Hu et al. BMC Bioinformatics. PMID: 21880147
Showing posts with label orthologs. Show all posts
Showing posts with label orthologs. Show all posts
Tuesday, October 22, 2013
Thursday, July 5, 2012
On Orthologs, GWAS and Fly Models of Disease
A nice mention of the DRSC Integrative Ortholog Prediction Tool (DIOPT) (Hu et al. in BMC Bioinformatics) appeared recently in a Current Biology dispatch highlighting a Drosophila study investigating genes related to Restless Leg Syndrome.
Shaw & Duntley "Neurological Disorders: Towards a Mechanistic Understanding of Restless Leg Syndrome" Current Biology 22(12).
The study highlighted in the dispatch (Freeman et al. "Sleep fragmentation and motor restlessness in a Drosophila model of restless leg syndrome" Current Biology 22:1142-1148") takes human genome-wide association study (GWAS) data into a model system for functional characterization.
Shaw & Duntley state that "one of the most compelling aspects of the approach of Freeman et al. is the successful use of a model system to functionally characterize a susceptibility gene that was original identified in human genome-wide association studies" and that "the use of model systems to functionally characterize genes identified with genome-wide association studies is a move in the right direction."
At the DRSC, we are excited to see that our bioinformatics tools, as well as our RNAi reagents for cells and in vivo, can have a positive impact on the use of Drosophila to study human disease-related genes and develop disease models.
Shaw & Duntley "Neurological Disorders: Towards a Mechanistic Understanding of Restless Leg Syndrome" Current Biology 22(12).
The study highlighted in the dispatch (Freeman et al. "Sleep fragmentation and motor restlessness in a Drosophila model of restless leg syndrome" Current Biology 22:1142-1148") takes human genome-wide association study (GWAS) data into a model system for functional characterization.
Shaw & Duntley state that "one of the most compelling aspects of the approach of Freeman et al. is the successful use of a model system to functionally characterize a susceptibility gene that was original identified in human genome-wide association studies" and that "the use of model systems to functionally characterize genes identified with genome-wide association studies is a move in the right direction."
At the DRSC, we are excited to see that our bioinformatics tools, as well as our RNAi reagents for cells and in vivo, can have a positive impact on the use of Drosophila to study human disease-related genes and develop disease models.
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