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	Accounting for proximal variants improves neoantigen prediction.
	Hundal Jasreet; Kiwala Susanna; Feng Yang-Yang; Liu Connor J; Govindan Ramaswamy; Chapman William C; Uppaluri Ravindra; Swamidass S Joshua; Griffith Obi L; Mardis Elaine R
会议名称	Nature genetics
会议日期	2018
URL标识	查看原文
内容类型	会议论文
URI标识	http://www.corc.org.cn/handle/1471x/5451655
专题	湖南大学
作者单位	McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA. Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA. Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA. Department of Surgery, Washington University School of Medicine, St. Louis, MO, USA. Department of Surgery/Otolaryngology, Brigham and Women's Hospital and Dana-Farber Cancer Institute, Boston, MA, USA. Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA. Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA. Institute for Genomic Medicine, Nationwide Children's Hospital, Columbus, OH, USA. elaine.mardis@nationwidechildrens.org. McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA. mgriffit@wustl.edu. Siteman Cancer Center, Washington University School of Medicine, St. Louis, MO, USA. mgriffit@wustl.edu. Division of Oncology, Department of Internal Medicine, Washington University School of Medicine, St. Louis, MO, USA. mgriffit@wustl.edu. Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA. mgriffit@wustl.edu.
推荐引用方式 GB/T 7714	Hundal Jasreet,Kiwala Susanna,Feng Yang-Yang,et al. Accounting for proximal variants improves neoantigen prediction.[C]. 见:Nature genetics. 2018.

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