摘要
报道了一个基于全基因组数据的亲缘关系预测系统(Kinship Prediction SystemVersion 1.0,KPSv1.0),其旨在给定一个自定义群体中所有个体的全基因组数据文件,通过亲缘关系预测算法,计算出群体中所有存在的亲缘关系对,并将结果可视化为家谱图,进而搜寻某个未知个体与多个已知个体的复杂亲缘关系,为物证鉴定提供强有力的线索。系统不仅将以往复杂的预测流程变得简单化、自动化,而且将预测结果进行了界面化,并和用户建立了更好的交互性,大大地提升了运算效率,在人类遗传学、法医遗传学等领域有重要的应用价值。
The Kinship Prediction System Version 1.0(KPS v1.0)based on genome-wide data aims to give the genome-wide data file of all individuals in a custom population.It uses the kinship prediction algorithm to calculate all existing kinship pairs in the population,makes the results visualized as a family tree,and then searches for the kinship between unknown individual and multiple known individuals,so as to provide strong clues for material evidence identification.KPS v1.0 not only simplifies and automates the previous complex prediction processes,but also interfaces the prediction results,establishing better interactivity with users,and greatly improving the computing efficiency.It has important practical values in the field of human ge netics and forensic genetics.
作者
王鑫
李悦
文豪
范虹
刘京
WANG Xin;LI Yue;WEN Hao;FAN Hong;LIU Jing(College of Computer Science,Shaanxi Normal University,Xi’an 710119,Shaanxi,China;National Engineering Laboratory for Forensic Science,Beijing Engineering Research Center of Crime Scene Evidence Examination,Institute of Forensic Science,Beijing 100038,China)
出处
《生命科学研究》
CAS
CSCD
2020年第3期229-233,258,共6页
Life Science Research
基金
国家重点研发计划资助项目(2017YFC0803501)
国家科技资源共享服务平台计划资助项目(YCZYPT[2017]01-3)
陕西省重点研发计划项目(2018SF-251)
公安部2019年度“双十攻关”项目(2019SSJH0601)。