Literature DB >> 22665230

Data analysis of HLA sequencing using Assign-SBT v3.6+ from Conexio.

Carla Wirtz1, David Sayer.   

Abstract

DNA Sequencing is now a standard frontline high-throughput HLA typing procedure with some unrelated bone marrow donor registry typing laboratories performing tens of thousands of tests per year. The advantage of DNA sequencing is that, by definition, sequencing directly identifies all bases in the DNA template. Alternative molecular-based assays such as the use of sequence-specific PCR primers (PCR-SSP) and oligonucleotide probes (PCR-SSO) provide information only for those regions to which the oligos are designed and no information is obtained for the regions between primers and probes.The era of routine high-throughput sequencing-based typing (SBT) was made possible by the development of locus-specific PCR-based assays and the development of the HLA sequencing-based typing software, Assign-SBT v3.2.7 by Conexio Genomics. A single PCR per locus simplified the template preparation stage of the test and Assign-SBT simplified the sequence analysis and allele assignment stage. Together these developments dramatically simplified the SBT procedure, making SBT cost effective.This chapter provides a comprehensive description of Assign-SBT sequence analysis software for use in a HLA typing laboratory.

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Year:  2012        PMID: 22665230     DOI: 10.1007/978-1-61779-842-9_6

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  1 in total

1.  A genome-wide association study identifies two new cervical cancer susceptibility loci at 4q12 and 17q12.

Authors:  Yongyong Shi; Li Li; Zhibin Hu; Shuang Li; Shixuan Wang; Jihong Liu; Chen Wu; Lin He; Jianfeng Zhou; Zhiqiang Li; Ting Hu; Yile Chen; Yao Jia; Shaoshuai Wang; Li Wu; Xiaodong Cheng; Zhijun Yang; Ru Yang; Xiong Li; Kecheng Huang; Qinghua Zhang; Hang Zhou; Fangxu Tang; Zhilan Chen; Jian Shen; Jie Jiang; Hu Ding; Hui Xing; Shulan Zhang; Pengpeng Qu; Xiaojie Song; Zhongqiu Lin; Dongrui Deng; Ling Xi; Weiguo Lv; Xiaobing Han; Guangshi Tao; Lixing Yan; Zhedong Han; Zhuang Li; Xiaoping Miao; Shandong Pan; Yuanming Shen; Hui Wang; Dan Liu; Ee Gong; Zheng Li; Limei Zhou; Xiaomei Luan; Chuping Wang; Qian Song; Sufang Wu; Hongbin Xu; Jiawei Shen; Fulin Qiang; Gang Ma; Li Liu; Xiaojun Chen; Jibin Liu; Jiangping Wu; Yan Shen; Yang Wen; Minjie Chu; Jiang Yu; Xiaoxia Hu; Yujuan Fan; Hongying He; Yanming Jiang; Zhiying Lei; Cui Liu; Jianhua Chen; Yuan Zhang; Cunjian Yi; Shuangyun Chen; Wenjin Li; Daowen Wang; Zehua Wang; Wen Di; Keng Shen; Dongxin Lin; Hongbing Shen; Youji Feng; Xing Xie; Ding Ma
Journal:  Nat Genet       Date:  2013-06-30       Impact factor: 38.330

  1 in total

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