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本帖最后由 细胞海洋 于 2014-2-25 10:38 编辑
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Edited by- G5 T& D2 p5 B% E
M. BUCHANAN,University of Cambridge publisher6 |+ k% x8 \; _* R- o. [
Networks in Cell Biology aims to fill a yawning gap in the modern literature
2 ~8 y9 E% n' t: n) tof systems biology. While a number of excellent texts at the graduate level cover2 A3 G4 v7 H$ L8 f
recent developments in cell biology, and others offer timely introductions to recent2 X4 o1 a# ? U1 s/ T
advances in complex network science, no single volume yet focuses explicitly on8 W1 R5 Y7 S& |% f
advances in our understanding of cellular networks. The present book offers an: r+ P9 C- C% a% r& `+ o- T7 s
up-to-date snapshot of such work, aiming for a balance between empirical stud-/ r& Q2 B& o8 G
ies and theory, which are natural complements in furthering knowledge in almost
. \& o3 l% s7 O w7 l/ _any area of modern biology. What do we know about the qualitative and quan-
. I6 V/ b4 f# n0 X, ~$ _' Wtitative structure and dynamics of genetic regulatory networks, or the network
~. Y# @4 X5 n) K/ a. A, ~# abiochemistry underlying cellular metabolism? What do empirical studies tell us
2 F+ u# ^8 |" i) n' k8 Xabout the large-scale architecture of protein–protein interactions, and what are the
8 }4 M: b F8 K. |. `8 K4 `key weaknesses and gaps in such data?What are the prospects for building realistic0 D u4 z7 D7 ~, R) B7 q) @
dynamical models for metabolic or regulatory processes, possibly with predictive9 _( s9 h3 Q% x* M( s
capability?
9 W4 s' f, _# d5 B. q2 u7 OThis volume covers these and other topics of current research in systems biology,
$ D. e; h6 p6 x8 g' xwith an emphasis on recent advances in complex networks science, and on how the
) s( _# g: O4 z; m) ~) ]massive data now available in biology can help test and inform such theories in' M; r5 |/ c8 W' N
their application. With contributions from key leaders in both network theory and) t; H4 J' g# h, d9 @1 @
modern cell biology, this volume makes available in one publication the naturally8 L* i' b) Z9 W3 S7 m4 e
diverse range of studies supporting a unified view of biological networks that is
3 x. a! z0 r* F0 R& w& ]" qlikely to be increasingly important in the future./ ]7 m1 p8 p8 C7 l
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