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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Autors principals: Yau, Stephen S.-T (Autor), Zhao, Xin (Autor), Tian, Kun (Autor), Yu, Hongyu (Autor)
Autor corporatiu: SpringerLink (Online service)
Format: Electrònic eBook
Idioma:anglès
Publicat: Cham : Springer Nature Switzerland : Imprint: Springer, 2023.
Edició:1st ed. 2023.
Col·lecció:Interdisciplinary Applied Mathematics, 58
Matèries:
Accés en línia:https://doi.org/10.1007/978-3-031-48295-3
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Taula de continguts:
  • 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.