The evolution of biological information : how evolution creates complexity, from viruses to brains
"An argument that information is the unifying principle that allows us to understand the evolution of complexity in natureMore than 150 years after Darwin's revolutionary On the Origin of Species, we are still attempting to understand and explain the amazing complexity of life. Although we...
Enregistré dans:
| Auteur principal: | |
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| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Princeton, New Jersey :
Princeton University Press
2024.
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| Sujets: | |
| Accès en ligne: | Accès Université d'Orléans et IFPM |
| Note: |
Couverture. https://static2.cyberlibris.com/books_upload/136pix/9780691241159.jpg Cyberlibris (ScholarVox) corpus Santé Type of computer file: Fichiers PDF |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • The evolution of biological information, how evolution creates complexity, from viruses to brains, Christoph Adami, 2024, Princeton, New Jersey, Princeton University Press, 1 volume (XVII-563 pages), 978-0-6912-4114-2 |
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| 100 | 1 | |a Adami, Christophe, |d 19..-...., |c astrophysicien. | |
| 245 | 1 | 0 | |a The evolution of biological information : |b how evolution creates complexity, from viruses to brains |c Christoph Adami. |
| 260 | |a Princeton, New Jersey : |b Princeton University Press, |c 2024. | ||
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| 504 | |a Références bibliogrphiques incluses (pages 521-549) and index. | ||
| 505 | 0 | |a Principles and origins of Darwinism -- Information theory in biology -- Evolution of information -- Experiments in evolution -- Evolution of complexity -- Evolution of robustness -- The informational origins of life -- Information for cooperation -- The making of intelligence -- The many roles of information in biology | |
| 506 | |a L'accès en ligne est réservé aux établissements ou bibliothèques ayant souscrit l'abonnement. Cyberlibris | ||
| 520 | |a "An argument that information is the unifying principle that allows us to understand the evolution of complexity in natureMore than 150 years after Darwin's revolutionary On the Origin of Species, we are still attempting to understand and explain the amazing complexity of life. Although we now know how evolution proceeds to build complexity from simple ingredients, quantifying this complexity is still a difficult undertaking. In this book, Christoph Adami offers a new perspective on Darwinian evolution by viewing it through the lens of information theory. This novel theoretical stance sheds light on such matters as how viruses evolve drug resistance, how cells evolve to communicate, and how intelligence evolves. By this account, information emerges as the central unifying principle behind all of biology, allowing us to think about the origin of life-on Earth and elsewhere-in a principled manner.Adami, a leader in the field of computational biology, first provides an accessible introduction to the information theory of biomolecules and then shows how to apply these tools to measure information stored in genetic sequences and proteins. After outlining the experimental evidence of the evolution of information in both bacteria and digital organisms, he describes the evolution of robustness in viruses; the cooperation among cells, animals, and people; and the evolution of brains and intelligence. Building on extensive prior work in bacterial and digital evolution, Adami establishes that (expanding on Dobzhansky's famous remark) nothing in biology makes sense except in the light of information. Understanding that information is the foundation of all life, he argues, allows us to see beyond the particulars of our way of life to glimpse what life might be like in other worlds". "Explaining how evolution can account for the complexity of life is a significant question in biology. Whether or not complexity increases, what the mechanisms are that fuel this growth, and indeed even how we define complexity are difficult questions. In this book Christoph Adami draws on two strands of research - experimental evolution and information theory - to forward a mathematical theory that accounts for the evolution of complexity. While accounting for complexity is his primary goal, Adami also argues that information theory can do more for biology than just provide for a measure of complexity. As he argues, everything in biology uses information in one form or another, be it for communication (between cells, or organisms) or for prediction (via molecular as well as neural circuits). As a consequence, we can think of information theory as the unifying framework that allows us to understand complex systems, with biological life being only the prime example | ||
| 538 | |a Un logiciel capable de lire un fichier au format PDF | ||
| 650 | |a Information, Théorie de l', en biologie | ||
| 650 | |a Évolution (biologie) | ||
| 776 | 0 | |0 278402062 |t The evolution of biological information |o how evolution creates complexity, from viruses to brains |f Christoph Adami |d 2024 |c Princeton, New Jersey |n Princeton University Press |p 1 volume (XVII-563 pages) |z 978-0-6912-4114-2 | |
| 856 | 4 | |5 452349901:851665853 |u https://ezproxy.univ-orleans.fr/login?url=https://univ.scholarvox.com/book/88956993 |z Accès Université d'Orléans et IFPM | |
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