BIMSA > 生物信息讨论班 Genomic GPS: using genetic distance from individuals to public data for genomic analysis without disclosing personal genomes
Genomic GPS: using genetic distance from individuals to public data for genomic analysis without disclosing personal genomes
组织者
丘成栋
演讲者
孙楠
时间
2023年05月18日 15:00 至 15:30
地点
Online
摘要
Genomic global positioning system (GPS) applies the multilateration technique commonly used in the GPS to genomic data. In the framework we present here, investigators calculate genetic distances from their samples to reference samples, which are from data held in the public domain, and share this information with others. This sharing enables certain types of genomic analysis, such as identifying sample overlaps and close relatives, decomposing ancestry, and mapping of geographical origin without disclosing personal genomes. Thus, our method can be seen as a balance between open data sharing and privacy protection.
演讲者介绍
孙楠目前是北京雁栖湖应用数学研究院的博士后。她的研究方向包括生物信息学、机器学习和应用数学，在The Innovation, Computational and Structural Biotechnology Journal, BMC Bioinformatics, Frontiers in Cellular and Infection Microbiology, Journal of Computational Biology, Genes等期刊发表多篇论文，参与多项国家自然科学基金及北京市自然科学基金项目，主持中国博士后科学基金第78批面上资助。