{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,16]],"date-time":"2026-02-16T08:35:25Z","timestamp":1771230925884,"version":"3.50.1"},"reference-count":17,"publisher":"Oxford University Press (OUP)","issue":"16","license":[{"start":{"date-parts":[[2019,1,2]],"date-time":"2019-01-02T00:00:00Z","timestamp":1546387200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,8,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Summary<\/jats:title>\n                  <jats:p>Here we developed a tool called Breakpoint Identification (BreakID) to identity fusion events from targeted sequencing data. Taking discordant read pairs and split reads as supporting evidences, BreakID can identify gene fusion breakpoints at single nucleotide resolution. After validation with confirmed fusion events in cancer cell lines, we have proved that BreakID can achieve high sensitivity of 90.63% along with PPV of 100% at sequencing depth of 500\u00d7 and perform better than other available fusion detection tools. We anticipate that BreakID will have an extensive popularity in the detection and analysis of fusions involved in clinical and research sequencing scenarios.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availability and implementation<\/jats:title>\n                  <jats:p>Source code is freely available at https:\/\/github.com\/SinOncology\/BreakID.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/bty1070","type":"journal-article","created":{"date-parts":[[2018,12,31]],"date-time":"2018-12-31T12:08:11Z","timestamp":1546258091000},"page":"2859-2861","source":"Crossref","is-referenced-by-count":4,"title":["BreakID: genomics breakpoints identification to detect gene fusion events using discordant pairs and split reads"],"prefix":"10.1093","volume":"35","author":[{"given":"Linfang","family":"Jin","sequence":"first","affiliation":[{"name":"Department of Research and Development, Sinotech Genomics Inc., Shanghai, China"}]},{"given":"Jinhuo","family":"Lai","sequence":"additional","affiliation":[{"name":"Department of Medical Oncology, Fujian Medical University Union Hospital, Fuzhou, China"}]},{"given":"Yang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Research and Development, Sinotech Genomics Inc., Shanghai, China"}]},{"given":"Ying","family":"Fu","sequence":"additional","affiliation":[{"name":"Department of Research and Development, Sinotech Genomics Inc., Shanghai, China"}]},{"given":"Shuhang","family":"Wang","sequence":"additional","affiliation":[{"name":"Thoracic Medical Oncology Department, Peking University Cancer Hospital, Beijing, China"}]},{"given":"Heng","family":"Dai","sequence":"additional","affiliation":[{"name":"Department of Research and Development, Sinotech Genomics Inc., Shanghai, China"}]},{"given":"Bingding","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Research and Development, Sinotech Genomics Inc., Shanghai, China"}]}],"member":"286","published-online":{"date-parts":[[2019,1,2]]},"reference":[{"key":"2023062708582747500_bty1070-B2","doi-asserted-by":"crossref","first-page":"1109","DOI":"10.1172\/JCI35660","article-title":"Targeting autophagy potentiates tyrosine kinase inhibitor-induced cell death in Philadelphia chromosome-positive cells, including primary CML stem cells","volume":"119","author":"Bellodi","year":"2009","journal-title":"J. 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