Room 515, Cosmology Building, National Taiwan University + Cisco WebEx, Physical+Online Seminar
(實體+線上演講 台灣大學次震宇宙館515研討室+ Cisco WebEx)
Explore Geometry of Genome Space Via Grassmann Manifolds
Stephen S. T. Yau (Beijing Institute of Mathematical Sciences and Applications)
Abstract
We propose a novel method to represent genome data in a Grassmann manifold, enabling more accurate and efficient sequence comparison. By transforming genome sequences into frequency matrices, we employ the generalized Grassmannian distance to measure similarity. Our method outperforms existing techniques, as demonstrated by phylogenetic tree construction and comparative analysis. Additionally, low-dimensional visualization revealed intriguing geometric patterns in SARS-CoV-2 genome data. Our findings offer a new geometric framework for molecular biology research.
Meeting number (access code): 2512 126 8192
Meeting password: 4kxEpfJE5J9
Organizers: Nicolau Sarquis Aiex (NTNU), Siao-Hao Guo (NTU), Chung-Jun Tsai (NTU)
