Evolutionary Bioinformatics

Evolutionary Bioinformatics aims to make the "new" information-based (rather than gene-based) bioinformatics intelligible both to the "bio" people and the "info" people. Books on bioinformatics have traditionally served gene-hunters, and biologists who wish to construct...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Forsdyke, Donald R. (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: New York, NY : Springer New York, 2011.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Prologue
  • Part 1: Information and DNA
  • Memory - A Phenomenon of Arrangement
  • Chargaff’s First Parity Rule
  • Information Levels and Barriers
  • Part 2: Parity and Non-parity
  • Chargaff’s Second Parity Rule
  • Stems and Loops
  • Chargaff’s Cluster Rule
  • Part 3: Variation and Speciation
  • Mutation
  • Species Survival and Arrival
  • The Weak Point
  • Chargaff’s GC Rule
  • Homostability
  • Part 4: Conflict within Genomes
  • Conflict Resolution
  • Exons and Introns
  • Complexity
  • Part 5: Conflict between Genomes
  • Self/Not-self?
  • The Crowded Cytosol
  • Part 6: Sex and Error-correction
  • Rebooting the Genome
  • The Fifth Letter
  • Part 7
  • Information and Mind
  • Memory - What to Arrange and Where?
  • Appendix 1
  • Appendix 2
  • Appendix 3
  • Index.