Foundations of Systems Biology
Average customer rating: 3 out of 5 stars
  • Very good book.
  • suckage
  • skim it in the library, if that....
  • A very good begining
Foundations of Systems Biology

Manufacturer: The MIT Press
ProductGroup: Book
Binding: Hardcover

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ASIN: 0262112663

Book Description

The emerging field of systems biology involves the application of experimental, theoretical, and modeling techniques to the study of biological organisms at all levels, from the molecular, through the cellular, to the behavioral. Its aim is to understand biological processes as whole systems instead of as isolated parts. Developments in the field have been made possible by advances in molecular biology--in particular, new technologies for determining DNA sequence, gene expression profiles, protein-protein interactions, and so on. Foundations of Systems Biology provides an overview of the state of the art of the field. The book covers the central topics of systems biology: comprehensive and automated measurements, reverse engineering of genes and metabolic networks from experimental data, software issues, modeling and simulation, and system-level analysis.

Customer Reviews:

5 out of 5 stars Very good book........2003-10-16

Great for people who are interested in this new area.

2 out of 5 stars suckage.......2003-07-02

I was very disappointed with what I found in this book. There is a broad range of topics, but the material presented for each topic is extremely thin. In fact, it would appear that each topic is covered by a single chapter modeled after a very short scientific paper. There is very little review of current cutting edge methods. For example, of particular interest to this reviewer was the chapter on large-scale gene expression arrays. What this reviewer found for 1/3 of the chapter on gene arrays was a paper detailing the "DBRF" method in inferring gene array data. At the end of the chapter was a conclusion, "Thus it is shown here that the DBRF method is superior the _predictor_ method." What should have been a chapter on 'foundations', as the title implies, seems to have become a chapter for pushing the agenda of a particular author's field of research.

It may very well be that the 'DBRF' method is superior to the 'predictor' method. That we'll leave up to the reader. But the inclusion of such material would seem to undermine the goals stated in the editorial preface, "Toward System-level Understand of Biological Ssytems." A foundations book, instead of focusing on research of particular groups, should attempt to summarize, dissect, review, compare, and criticize the field.

A more appropriate title for this book would be 'A random collection of speculative essays.' There may still be gems in this book for certain readers, but those wishing to learn about general systems biology should turn elsewhere.

1 out of 5 stars skim it in the library, if that...........2002-08-28

The sizzle of bioinformatics is fadding, so you're looking to become a player in biology's new buzz: systems biology? Well, don't start your search with this book. The title is misleading: "Foundations of Systems Biology". I was expecting a broad overview of the field with maybe a few key examples and typical approaches of experimental design (both wet-lab and computational). However, this book is nothing more than a thrown together collection of papers that would have a better home torn out of the book and placed in journals. A better (and cheaper) starting place for getting an overview of systems biology would be the SCIENCE issue on systems biology (vol 295 2002) [it even has a nice review by Kitano the editor of this book]. For people looking for current gene network modeling techniques, you might start with "Mathematical modeling of gene networks." Smolen, et.al. Neuron 2000. But save your money and time by not buying this book.

5 out of 5 stars A very good begining.......2002-01-07

In my knowledge, this is the first organized effort to present a synoptic view of systems biology. The best part is that all the contributors are themselves active scientists in the field and obviously therefore information presented is very reliable. I would strongly recommend this book for beginners, though I am sure professionals will find it equally interesting.
Foundations of Complex-system Theories: In Economics, Evolutionary Biology, and Statistical Physics
Average customer rating: 4.5 out of 5 stars
  • 4.5 Stars-The whole is not the sum of the parts;Excellent and scholarly
  • a fascinating book -- recommended to philosophers
  • A Professional work
Foundations of Complex-system Theories: In Economics, Evolutionary Biology, and Statistical Physics
Sunny Y. Auyang
Manufacturer: Cambridge University Press
ProductGroup: Book
Binding: Hardcover

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ASIN: 0521621674

Book Description

Complex behavior can occur in any system made up of large numbers of interacting constituents, be they atoms in a solid, cells in a living organism, or consumers in a national economy. Analysis of this behavior often involves making important assumptions and approximations, the exact nature of which vary from subject to subject. Foundations of Complex-system Theories begins with a description of the general features of complexity and then examines a range of important concepts, such as theories of composite systems, collective phenomena, emergent properties, and stochastic processes. Each topic is discussed with reference to the fields of statistical physics, evolutionary biology, and economics, thereby highlighting recurrent themes in the study of complex systems. This detailed yet nontechnical book will appeal to anyone who wants to know more about complex systems and their behavior. It will also be of great interest to specialists studying complexity in the physical, biological, and social sciences.

Customer Reviews:

4 out of 5 stars 4.5 Stars-The whole is not the sum of the parts;Excellent and scholarly.......2006-02-14

This is a very interesting book.The author demonstrates that she has command over a number of different fields.She exhibits a wide ranging scholarship in this book.In a nutshell,one can categorize the major conclusions she arrives at as the whole is not the sum of the parts alone.Neither a strictly micro or macro approach to the different fields she investigates,using a complex systems framework, yields the idealized types of scientific discovery and knowledge one finds postulated in some philosophy of science discourses that emphasize deductive closure laws.I have one slight criticism of the book,which is why I have subtracted one half a star.The author has a deep general understanding of the Keynes-Knight distinction between risk and uncertainty in economics(and in social sciences).However,she lacks an understanding of the specifics of Keynes's approach in the A Treatise on Probability(1921;TP).She is unaware of Keynes's interval estimate approach to probability,his index,w,used to measure the completeness of the evidence ,ranging from ignorance through partial knowledge to a complete information set,and Keynes's conventional coefficient of weight and risk,which treats risk, based on the purely deductive laws of probability, as a special case.This would be a very minor criticism if she had integrated the work of D.Ellsberg(Ellsberg's 2001 book,Risk,Ambiguity,and Decision gives a modern,improved and updated version of the TP) and B.Mandelbrot into her discussions involving economics,risk,and uncertainty(Ellsberg's Ambiguity with his rho and alpha indexes and the wild versus mild risk of the cauchy distribution versus normal distribution as discussed by Mandelbrot).Unfortunately,Ellsberg's contributions are not discussed at all while Mandelbrot receives a single footnote that completely ignores his contributions to economics.She can certainly obtain a 5-star rating by bringing out a revised edition in which the original,technical, pioneering work of Keynes is covered followed by the modern and updated contributions of Ellsberg and Mandelbrot.

5 out of 5 stars a fascinating book -- recommended to philosophers.......2002-10-26

Philosophers of science need to read this book: the hands-on
account of how three sciences work is a healthy
corrective to the usual practice of writing philosophy of science
without actually knowing how the science is done.

5 out of 5 stars A Professional work.......2000-03-30

This is an amazing work. Sunny Auyang has written an easily comprehenedible book on applications of complexity theories to economics, biology and physics. It is a professional writing to professionals in different fields.One needs college level maths and some physics to fully grasp it but she has made minimum use of mathematical symbols. Her writing flows, the examples are clear, some illuminate important issues in the applied fields, some are just homey bits that convey an idea insightfully. A lot of depth in her philosophical explorations of the complexity ideas. I consider this to be a must for any person studying or instructing in system thinking.
Foundations for Social & Biological Evolution: Progress Toward a Physical Theory of Civilization & of Speciation. (Cri-De-Coeur Series of Physical-P)
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    Average customer rating: 3 out of 5 stars
    • Decent but no CD
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    3 out of 5 stars Decent but no CD.......2005-09-26

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