Population-level structural variant characterization using pangenome graphs

Nature Genetics, vol. 58, pp. 664–672

Authors 4

1. Songbo Wang

   Xi'an Jiaotong University

   Affiliation as printed

   MOE Key Laboratory for Intelligent Networks and Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China

   School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China

2. Tun Xu

   Xi'an Jiaotong University

   Affiliation as printed

   MOE Key Laboratory for Intelligent Networks and Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China

   School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China

3. Pengyu Zhang

   Xi'an Jiaotong University

   Affiliation as printed

   MOE Key Laboratory for Intelligent Networks and Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China

   School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China

4. Kai Ye corresponding Aachen Faculty of Science, Leiden University

   Leiden University · First Affiliated Hospital of Xi'an Jiaotong University · Xi'an Jiaotong University

   Affiliation as printed

   Center for Mathematical Medical, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China. kaiye@xjtu.edu.cn

   Faculty of Science, Leiden University, Leiden, the Netherlands. kaiye@xjtu.edu.cn

   Genome Institute, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China. kaiye@xjtu.edu.cn

   MOE Key Laboratory for Intelligent Networks and Networks Security, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China. kaiye@xjtu.edu.cn

   School of Automation Science and Engineering, Faculty of Electronic and Information Engineering, Xi'an Jiaotong University, Xi'an, China. kaiye@xjtu.edu.cn