Literature DB >> 12183614

Genetic networks. Small numbers of big molecules.

Nina Fedoroff1, Walter Fontana.   

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Year:  2002        PMID: 12183614     DOI: 10.1126/science.1075988

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


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  33 in total

Review 1.  Aspects of plant intelligence.

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2.  Fluctuations and the rate-limiting step of peptide-induced membrane leakage.

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Journal:  Biophys J       Date:  2010-09-22       Impact factor: 4.033

3.  Measuring gene expression noise in early Drosophila embryos: nucleus-to-nucleus variability.

Authors:  Nina E Golyandina; David M Holloway; Francisco J P Lopes; Alexander V Spirov; Ekaterina N Spirova; Konstantin D Usevich
Journal:  Procedia Comput Sci       Date:  2012-06-02

4.  The wavelet-based cluster analysis for temporal gene expression data.

Authors:  J Z Song; K M Duan; T Ware; M Surette
Journal:  EURASIP J Bioinform Syst Biol       Date:  2007

5.  Monte Carlo simulation of cell death signaling predicts large cell-to-cell stochastic fluctuations through the type 2 pathway of apoptosis.

Authors:  Subhadip Raychaudhuri; Eric Willgohs; Thuc-Nghi Nguyen; Elaine M Khan; Tzipora Goldkorn
Journal:  Biophys J       Date:  2008-07-18       Impact factor: 4.033

6.  Simplification of stochastic chemical reaction models with fast and slow dynamics.

Authors:  Guang Qiang Dong; Luke Jakobowski; Marco A J Iafolla; David R McMillen
Journal:  J Biol Phys       Date:  2007-09-05       Impact factor: 1.365

7.  Stiffness detection and reduction in discrete stochastic simulation of biochemical systems.

Authors:  Yang Pu; Layne T Watson; Yang Cao
Journal:  J Chem Phys       Date:  2011-02-07       Impact factor: 3.488

8.  Simulation and inference algorithms for stochastic biochemical reaction networks: from basic concepts to state-of-the-art.

Authors:  David J Warne; Ruth E Baker; Matthew J Simpson
Journal:  J R Soc Interface       Date:  2019-02-28       Impact factor: 4.118

9.  Discrete stochastic simulation methods for chemically reacting systems.

Authors:  Yang Cao; David C Samuels
Journal:  Methods Enzymol       Date:  2009       Impact factor: 1.600

10.  A stochastic model for microtubule motors describes the in vivo cytoplasmic transport of human adenovirus.

Authors:  Mattia Gazzola; Christoph J Burckhardt; Basil Bayati; Martin Engelke; Urs F Greber; Petros Koumoutsakos
Journal:  PLoS Comput Biol       Date:  2009-12-24       Impact factor: 4.475

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