panHiTE: A comprehensive and accurate pipeline for TE detection in large-scale population genomes
Year: 2025
Type: article
Language: en
Topic: Chromosomal and Genetic Variations
Authors and affiliations:
raw_author_name: Kang Hu
raw_affiliation_strings: School of Computer Science and Engineering, Central South University, Changsha 410083, China; Xiangjiang Laboratory, Changsha 410205, China; Hunan Provincial Key Lab on Bioinformatics, Central South University, Changsha 410083, China
School of Computer Science and Engineering, Central South University, Changsha, 410083, China; Xiangjiang Laboratory, Changsha, 410205, China; Hunan Provincial Key Lab on Bioinformatics, Central South University, Changsha, 410083, China
raw_author_name: Minghua Xu
raw_affiliation_strings: School of Computer Science and Engineering, Central South University, Changsha 410083, China; Hunan Provincial Key Lab on Bioinformatics, Central South University, Changsha 410083, China
School of Computer Science and Engineering, Central South University, Changsha, 410083, China; Hunan Provincial Key Lab on Bioinformatics, Central South University, Changsha, 410083, China
raw_author_name: Liqing Ding
raw_affiliation_strings: School of Computer Science and Engineering, Central South University, Changsha 410083, China; Hunan Provincial Key Lab on Bioinformatics, Central South University, Changsha 410083, China
School of Computer Science and Engineering, Central South University, Changsha, 410083, China; Hunan Provincial Key Lab on Bioinformatics, Central South University, Changsha, 410083, China
raw_author_name: You Zou
raw_affiliation_strings: School of Computer Science and Engineering, Central South University, Changsha 410083, China; Hunan Provincial Key Lab on Bioinformatics, Central South University, Changsha 410083, China; High Performance Computing Center, Central South University, Changsha 410083, China
School of Computer Science and Engineering, Central South University, Changsha, 410083, China; Hunan Provincial Key Lab on Bioinformatics, Central South University, Changsha, 410083, China; High Performance Computing Center, Central South University, Changsha, 410083, China
raw_author_name: Xin Gao
raw_affiliation_strings: Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia; Center of Excellence for Smart Health (KCSH), King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia; Center of Excellence on Generative AI, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Kingdom of Saudi Arabia
Computer Science Program, Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Kingdom of Saudi Arabia; Center of Excellence for Smart Health (KCSH), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Kingdom of Saudi Arabia; Center of Excellence on Generative AI, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Kingdom of Saudi Arabia
raw_author_name: Jianxin Wang
raw_affiliation_strings: School of Computer Science and Engineering, Central South University, Changsha 410083, China; Xiangjiang Laboratory, Changsha 410205, China; Hunan Provincial Key Lab on Bioinformatics, Central South University, Changsha 410083, China. Electronic address: jxwang@mail.csu.edu.cn
School of Computer Science and Engineering, Central South University, Changsha, 410083, China; Xiangjiang Laboratory, Changsha, 410205, China; Hunan Provincial Key Lab on Bioinformatics, Central South University, Changsha, 410083, China. Electronic address: jxwang@mail.csu.edu.cn