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本帖最后由 细胞海洋 于 2014-2-25 10:38 编辑 L6 t0 C, U q3 h
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Edited by4 s {( R# ]! [: T
M. BUCHANAN,University of Cambridge publisher# u2 X; S( b6 A: @
Networks in Cell Biology aims to fill a yawning gap in the modern literature
2 w0 Z8 I; ?; u$ J& \3 I- m6 iof systems biology. While a number of excellent texts at the graduate level cover
/ Z" i1 V. I3 L: P4 rrecent developments in cell biology, and others offer timely introductions to recent
& Y" ^: A" A/ v% aadvances in complex network science, no single volume yet focuses explicitly on; ^+ q D( {0 K0 X) j. v* E3 w
advances in our understanding of cellular networks. The present book offers an
6 J7 Y4 H3 @ C! g1 fup-to-date snapshot of such work, aiming for a balance between empirical stud-
( ? R0 J2 i3 q. H2 q6 n: Iies and theory, which are natural complements in furthering knowledge in almost: |$ k; O* C& z
any area of modern biology. What do we know about the qualitative and quan-
1 U) `+ r z, I2 wtitative structure and dynamics of genetic regulatory networks, or the network
/ ^$ i# H- `4 \/ ibiochemistry underlying cellular metabolism? What do empirical studies tell us
/ a' s3 q4 a1 J" ?" ]2 m" Iabout the large-scale architecture of protein–protein interactions, and what are the* I1 n. r' r9 x1 Y, G% I$ C" l
key weaknesses and gaps in such data?What are the prospects for building realistic
# F! M4 {: w9 J5 \' D; Cdynamical models for metabolic or regulatory processes, possibly with predictive' p5 ?) p: X6 O b2 e
capability?& s! h3 u1 P; x, _0 U" r
This volume covers these and other topics of current research in systems biology,
! Z) x* Y1 P4 f7 S2 v* d* P' wwith an emphasis on recent advances in complex networks science, and on how the/ S; A6 S/ k8 b; p9 D# y
massive data now available in biology can help test and inform such theories in
6 ]8 K, `: U3 f8 etheir application. With contributions from key leaders in both network theory and3 d. i5 @ N1 y6 Z4 N' V; _
modern cell biology, this volume makes available in one publication the naturally
. ]! v, F7 n% D. H* p: T" kdiverse range of studies supporting a unified view of biological networks that is
7 E- o: x# R$ Clikely to be increasingly important in the future.& C2 L9 n% R- L- T1 I, ^( z+ r4 ~
& |0 W% s4 _/ R* O- G& m
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