Mathematical Principles in Bioinformatics

This textbook introduces bioinformatics to students in mathematics with no biology background assumed and it provides solid mathematical tools for biology students along with an understanding of how to implement them in bioinformatics problems. In addition to the basics, the text offers new approach...

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Bibliographic Details
Main Authors: Yau, Stephen S.-T., Zhao, Xin (Author), Tian, Kun (Author), Yu, Hongyu (Author)
Format: eBook
Language:English
Published: Cham Springer Nature Switzerland 2023, 2023
Edition:1st ed. 2023
Series:Interdisciplinary Applied Mathematics
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Preface
  • 1 Biological Overview
  • 2 Bioinformatics Databases
  • 3 Sequence Alignment
  • 4 The Time-Frequency Spectral Analysis and Applications in Bioinformatics
  • 5 Graphical Representation of Sequences and Its Application
  • 6 The Development and Applications of the Natural Vector Method
  • 7 Convex Hull Principle and Distinguishing Proteins from Arbitrary Amino Acid Sequences
  • 8 New Features or Metric on Sequence Comparison
  • References