Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
State Key Laboratory of Genetic Engineering, Center for Evolutionary Biology, Collaborative Innovation Center of Genetics and Development, School of Life Sciences, Fudan University, Shanghai 200438, China.
STAR Protoc. 2022 Apr 14;3(2):101314. doi: 10.1016/j.xpro.2022.101314. eCollection 2022 Jun 17.
ArchaicSeeker 2.0 is designed to identify the sequences derived from known or unknown archaic hominins and to further model the multiple-wave gene flows. The main functional modules involve seeking introgressed sequences, determining corresponding ancestries, and reconstructing the admixture history. The protocol below describes the analytic steps for the application of ArchaicSeeker 2.0 into analysis of example data of the Han Chinese population. For complete details on the use and execution of this protocol, please refer to Yuan et al. (2021).
ArchaicSeeker 2.0 旨在识别来自已知或未知古人类的序列，并进一步模拟多波基因流。主要功能模块包括寻找渐渗序列、确定相应的祖先和重建混合历史。下面的协议描述了将 ArchaicSeeker 2.0 应用于分析汉族人群示例数据的分析步骤。有关使用和执行此协议的完整详细信息，请参阅 Yuan 等人（2021 年）。
