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However, these tools can give different results and identification of predicted orthologs is not always straightforward.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Results<\/jats:title>\n            <jats:p>We report a simple but effective tool, the <jats:italic>\n                <jats:underline>D<\/jats:underline>\n              <\/jats:italic>\n              <jats:italic>rosophila<\/jats:italic> RNAi Screening Center <jats:underline>I<\/jats:underline> ntegrative <jats:underline>O<\/jats:underline> rtholog <jats:underline>P<\/jats:underline> rediction <jats:underline>T<\/jats:underline> ool (DIOPT; <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/www.flyrnai.org\/diopt\" ext-link-type=\"uri\">http:\/\/www.flyrnai.org\/diopt<\/jats:ext-link>), for rapid identification of orthologs. DIOPT integrates existing approaches, facilitating rapid identification of orthologs among human, mouse, zebrafish, <jats:italic>C. elegans, Drosophila<\/jats:italic>, and <jats:italic>S. cerevisiae<\/jats:italic>. As compared to individual tools, DIOPT shows increased sensitivity with only a modest decrease in specificity. Moreover, the flexibility built into the DIOPT graphical user interface allows researchers with different goals to appropriately 'cast a wide net' or limit results to highest confidence predictions. DIOPT also displays protein and domain alignments, including percent amino acid identity, for predicted ortholog pairs. This helps users identify the most appropriate matches among multiple possible orthologs. To facilitate using model organisms for functional analysis of human disease-associated genes, we used DIOPT to predict high-confidence orthologs of disease genes in Online Mendelian Inheritance in Man (OMIM) and genes in genome-wide association study (GWAS) data sets. The results are accessible through the DIOPT diseases and traits query tool (DIOPT-DIST; <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/www.flyrnai.org\/diopt-dist\" ext-link-type=\"uri\">http:\/\/www.flyrnai.org\/diopt-dist<\/jats:ext-link>).<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusions<\/jats:title>\n            <jats:p>DIOPT and DIOPT-DIST are useful resources for researchers working with model organisms, especially those who are interested in exploiting model organisms such as <jats:italic>Drosophila<\/jats:italic> to study the functions of human disease genes.<\/jats:p>\n          <\/jats:sec>","DOI":"10.1186\/1471-2105-12-357","type":"journal-article","created":{"date-parts":[[2011,9,1]],"date-time":"2011-09-01T01:58:00Z","timestamp":1314842280000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":787,"title":["An integrative approach to ortholog prediction for disease-focused and other functional studies"],"prefix":"10.1186","volume":"12","author":[{"given":"Yanhui","family":"Hu","sequence":"first","affiliation":[]},{"given":"Ian","family":"Flockhart","sequence":"additional","affiliation":[]},{"given":"Arunachalam","family":"Vinayagam","sequence":"additional","affiliation":[]},{"given":"Clemens","family":"Bergwitz","sequence":"additional","affiliation":[]},{"given":"Bonnie","family":"Berger","sequence":"additional","affiliation":[]},{"given":"Norbert","family":"Perrimon","sequence":"additional","affiliation":[]},{"given":"Stephanie E","family":"Mohr","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2011,8,31]]},"reference":[{"issue":"1","key":"4776_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1097\/00005792-199801000-00001","volume":"77","author":"VA McKusick","year":"1998","unstructured":"McKusick VA: On the naming of clinical disorders, with particular reference to eponyms. 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