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...
Κύριος συγγραφέας: | |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
New York, NY :
Springer New York,
2011.
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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.