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Seminar on Bioinformatics
Determining Genome or Protein Composition Using Natural Vectors and Convex Hulls
Determining Genome or Protein Composition Using Natural Vectors and Convex Hulls
Organizer
Speaker
Time
Sunday, June 16, 2024 2:30 PM - 3:00 PM
Venue
理科楼A-304
Abstract
Despite advancements in sequencing technology, genome and protein sequences available are just a fraction of nature. Predicting new sequences from existing data remains challenging. This paper uses the natural vector method and convex hull principle to determine nucleotide or amino acid composition of new sequences. Our optimization-based algorithm, validated with SARS-CoV-2 datasets, accurately predicts nucleotide or amino acid counts using second-order natural vectors.
Speaker Intro
Jiao Xiaopei graduated with a bachelor's degree from the Zhi Yuan College of Shanghai Jiao Tong University (Physics Department) in 2017 and obtained his PhD from the Department of Mathematical Sciences at Tsinghua University in 2022, under the guidance of Professor Stephen Shing-Toung Yau (IEEE Fellow, former tenured professor at the University of Illinois at Chicago). He has conducted postdoctoral research at the Beijing Institute of Mathematica Science and Application and at the University of Twente in the Netherlands (under the guidance of Professor Johannes Schmidt-Hieber, Fellow of the Institute of Mathematical Statistics). His current research interests include control theory, numerical partial differential equations, and bioinformatics.