Section Editors
- Nitin Baliga, Institute for Systems Biology
- Christina Chan, Michigan State University
- Luonan Chen, Chinese Academy of Sciences
- Sang Yup Lee, Korea Advanced Institute of Science and Technology
- Matteo Pellegrini, University of California, Los Angeles
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Articles
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BMC Systems Biology 2012, 6:39ssLNA algorithm improves intrinsic noise statistics
A new method, called the slow-scale linear noise approximation (ssLNA), provides a simple and accurate means of performing stochastic model reduction under timescale separation conditions, giving more accurate noise estimates that the heuristic stochastic simulation algorithm.
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BMC Systems Biology 2012, 6:24Modeling Pichia metabolism
A new genome-scale metabolic model of the industrially important yeast species Pichia stipitis and Pichia pastoris enables the modeling of growth on xylose, which is essential to optimising the production of ethanol from biomass.
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BMC Systems Biology 2012, 6:9Predicting outcomes of 13C experiments
A new Monte Carlo sampling algorithm determines the capability of 13C labeling experiments to resolve fluxes in metabolic networks, and is demonstrated on an E. coli isotopomer model to determine reaction fluxes.
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Hot topic
A genome-scale metabolic model of the lipid-accumulating yeast Yarrowia lipolytica
BMC Systems Biology 2012, 6:35 (4 May 2012)
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Scope
BMC Systems Biology is an open access, peer-reviewed journal that considers articles on experimental and theoretical aspects of the function of biological systems at the molecular, cellular or organismal level, in particular those addressing the engineering of biological systems, network modeling, quantitative analyses and the integration of different levels of information.
It is journal policy to publish work deemed by peer reviewers to be a coherent and sound addition to scientific knowledge and to put less emphasis on interest levels, provided that the research constitutes a useful contribution to the field.
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Semel Institute for Neuroscience & Human Behavior,
UCLA David Geffen School of Medicine, USA
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