{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T15:11:04Z","timestamp":1770822664074,"version":"3.50.1"},"reference-count":19,"publisher":"Oxford University Press (OUP)","issue":"2","license":[{"start":{"date-parts":[[2016,10,2]],"date-time":"2016-10-02T00:00:00Z","timestamp":1475366400000},"content-version":"vor","delay-in-days":1783,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/3.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012,1,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: TREAT (Targeted RE-sequencing Annotation Tool) is a tool for facile navigation and mining of the variants from both targeted resequencing and whole exome sequencing. It provides a rich integration of publicly available as well as in-house developed annotations and visualizations for variants, variant-hosting genes and host-gene pathways.<\/jats:p>\n               <jats:p>Availability and implementation: TREAT is freely available to non-commercial users as either a stand-alone annotation and visualization tool, or as a comprehensive workflow integrating sequencing alignment and variant calling. The executables, instructions and the Amazon Cloud Images of TREAT can be downloaded at the website: http:\/\/ndc.mayo.edu\/mayo\/research\/biostat\/stand-alone-packages.cfm<\/jats:p>\n               <jats:p>Contact: \u00a0Hossain.Asif@mayo.edu; Kocher.JeanPierre@mayo.edu<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are provided at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btr612","type":"journal-article","created":{"date-parts":[[2011,11,17]],"date-time":"2011-11-17T11:42:06Z","timestamp":1321530126000},"page":"277-278","source":"Crossref","is-referenced-by-count":61,"title":["TREAT: a bioinformatics tool for variant annotations and visualizations in targeted and exome sequencing data"],"prefix":"10.1093","volume":"28","author":[{"given":"Yan W.","family":"Asmann","sequence":"first","affiliation":[{"name":"Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo College of Medicine, 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