BIMSA > Seminar on Bioinformatics Generalized-Locus and Generalized-Alleles(GLGA) Model Based on the Alignment-free Method: Natural Vector
Generalized-Locus and Generalized-Alleles(GLGA) Model Based on the Alignment-free Method: Natural Vector
Organizer
Shing Toung Yau
Speaker
Mengcen Guan
Time
Saturday, January 6, 2024 9:00 PM - 9:30 PM
Venue
Online
Abstract
Exploring genetic structure and changes in populations and understanding the evolutionary and biological significance of genetic variation are main goals of Population Genetics. Variations at specific locations within genes or genomes (such as single nucleotide polymorphisms (SNPs), insertion/deletion polymorphisms, etc.) are focused, and other information hiding in the full genes or genomes may be missed. We proposed one new mathematical model based on the alignment-free method: natural vector to study genetic structure within and outside populations. Based on this, we establish GLGA model.