Germline and somatic variant identification using BGISEQ-500 and HiSeq X Ten whole genome sequencing.
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| Title: | Germline and somatic variant identification using BGISEQ-500 and HiSeq X Ten whole genome sequencing. |
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| Authors: | Patch AM; Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia., Nones K; Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia., Kazakoff SH; Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia., Newell F; Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia., Wood S; Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia., Leonard C; Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia., Holmes O; Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia., Xu Q; Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia., Addala V; Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia., Creaney J; National Centre for Asbestos Related Disease, School of Medicine and Pharmacology, University of Western Australia, Nedlands, Western Australia, Australia.; Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia., Robinson BW; National Centre for Asbestos Related Disease, School of Medicine and Pharmacology, University of Western Australia, Nedlands, Western Australia, Australia.; Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia., Fu S; BGI, BGI-Shenzhen, Shenzhen, China., Geng C; BGI, BGI-Shenzhen, Shenzhen, China., Li T; BGI, BGI-Shenzhen, Shenzhen, China., Zhang W; BGI, BGI-Shenzhen, Shenzhen, China., Liang X; BGI, BGI-Shenzhen, Shenzhen, China., Rao J; BGI, BGI-Shenzhen, Shenzhen, China., Wang J; BGI, BGI-Shenzhen, Shenzhen, China., Tian M; BGI, BGI-Shenzhen, Shenzhen, China., Zhao Y; BGI, BGI-Shenzhen, Shenzhen, China., Teng F; BGI, BGI-Shenzhen, Shenzhen, China., Gou H; BGI, BGI-Shenzhen, Shenzhen, China., Yang B; BGI, BGI-Shenzhen, Shenzhen, China., Jiang H; BGI, BGI-Shenzhen, Shenzhen, China., Mu F; BGI, BGI-Shenzhen, Shenzhen, China., Pearson JV; Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia., Waddell N; Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia. |
| Source: | PloS one [PLoS One] 2018 Jan 10; Vol. 13 (1), pp. e0190264. Date of Electronic Publication: 2018 Jan 10 (Print Publication: 2018). |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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