|6 E/ G, g6 I# ?6 y3 a0 cEdited by 4 Z4 b6 O; |. b5 k: ZM. BUCHANAN,University of Cambridge publisher' z- E8 A6 u0 o( D! ~9 R
Networks in Cell Biology aims to fill a yawning gap in the modern literature " \. a3 R/ N; C. Q4 |! M& B. oof systems biology. While a number of excellent texts at the graduate level cover+ u6 w' k$ y& W
recent developments in cell biology, and others offer timely introductions to recent V; ]( O2 r/ Eadvances in complex network science, no single volume yet focuses explicitly on 9 y' s8 c- L( e% w% \8 m vadvances in our understanding of cellular networks. The present book offers an / W2 }- f4 M- ^ W, s6 Kup-to-date snapshot of such work, aiming for a balance between empirical stud-9 k! S) Q/ w+ D* C4 N I8 q
ies and theory, which are natural complements in furthering knowledge in almost1 y: x) J( e* |8 v [, k$ o
any area of modern biology. What do we know about the qualitative and quan-3 Y2 o5 R) v( w! q! E
titative structure and dynamics of genetic regulatory networks, or the network & q, i$ v: \$ `& \# N4 abiochemistry underlying cellular metabolism? What do empirical studies tell us$ i1 V4 [6 C8 y8 Y
about the large-scale architecture of protein–protein interactions, and what are the 4 O4 E5 G' m: M" h/ akey weaknesses and gaps in such data?What are the prospects for building realistic8 q7 ~$ `' K. Y* k3 f
dynamical models for metabolic or regulatory processes, possibly with predictive * f5 Q( \8 T' Vcapability?" A8 x# j% F; y' X* E1 Q
This volume covers these and other topics of current research in systems biology, 2 l0 n1 c' e% a5 gwith an emphasis on recent advances in complex networks science, and on how the- G# f5 J1 b' {0 B
massive data now available in biology can help test and inform such theories in1 _4 P) k$ A0 C$ ]- p' z. X
their application. With contributions from key leaders in both network theory and* L% A. T0 G# W- ?5 M5 D; o$ q
modern cell biology, this volume makes available in one publication the naturally & M4 J8 g1 L, Q* S2 B% w) U! |diverse range of studies supporting a unified view of biological networks that is9 D$ d9 {1 m( E: u
likely to be increasingly important in the future. - J v* q" {+ _8 t+ b+ U" R 6 o' ~8 x) h' \0 v9 o9 K作者: zhucexiaji 时间: 2014-2-24 16:08
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Networks in Cell Biology , 2010英文原著作者: henryjia 时间: 2014-4-27 02:36
Cancer Cell Signaling作者: manybit 时间: 2014-4-27 08:41