{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:18:06Z","timestamp":1760242686044},"reference-count":10,"publisher":"Oxford University Press (OUP)","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,2,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: Whole-exome sequencing (WES) has extensively been used in cancer genome studies; however, the use of WES data in the study of loss of heterozygosity or more generally allelic imbalance (AI) has so far been very limited, which highlights the need for user-friendly and flexible software that can handle low-quality datasets. We have developed a statistical approach, ExomeAI, for the detection of recurrent AI events using WES datasets, specifically where matched normal samples are not available.<\/jats:p>\n               <jats:p>Availability: ExomeAI is a web-based application, publicly available at: http:\/\/genomequebec.mcgill.ca\/exomeai .<\/jats:p>\n               <jats:p>Contact: \u00a0JavadNadaf@gmail.com or somayyeh.fahiminiya@mcgill.ca<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btu665","type":"journal-article","created":{"date-parts":[[2014,10,9]],"date-time":"2014-10-09T01:49:44Z","timestamp":1412819384000},"page":"429-431","source":"Crossref","is-referenced-by-count":16,"title":["ExomeAI: detection of recurrent allelic imbalance in tumors using whole-exome sequencing data"],"prefix":"10.1093","volume":"31","author":[{"given":"Javad","family":"Nadaf","sequence":"first","affiliation":[{"name":"Department of Human Genetics, Faculty of Medicine, McGill University and Genome Quebec Innovation Center, Montreal, Quebec, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jacek","family":"Majewski","sequence":"additional","affiliation":[{"name":"Department of Human Genetics, Faculty of Medicine, McGill University and Genome Quebec Innovation Center, Montreal, Quebec, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Somayyeh","family":"Fahiminiya","sequence":"additional","affiliation":[{"name":"Department of Human Genetics, Faculty of Medicine, McGill University and Genome Quebec Innovation Center, Montreal, Quebec, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2014,10,8]]},"reference":[{"key":"2023020116164029300_btu665-B1","article-title":"Comparative analysis of methods for identifying somatic copy number alterations from deep sequencing data","author":"Alkodsi","year":"2014","journal-title":"Brief. 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