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  • Automated Visualization of Rule-based Models
    John A. P. Sekar, Jose-Juan Tapia, James R. Faeder
    bioRxiv 074138; doi: https://doi.org/10.1101/074138
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  • 13C metabolic flux ratio analysis by direct measurement of free metabolic intermediates in L. mexicana using gas chromatography-mass spectrometry
    Milica Ng, Eleanor C. Saunders, Moshe Olshansky, Malcolm J. McConville, Vladimir A. Likić
    bioRxiv 073676; doi: https://doi.org/10.1101/073676
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  • Precise label-free quantitative proteomes in high-throughput by microLC and data-independent SWATH acquisition
    Jakob Vowinckel, Aleksej Zelezniak, Artur Kibler, Roland Bruderer, Michael Muelleder, Lukas Reiter, Markus Ralser
    bioRxiv 073478; doi: https://doi.org/10.1101/073478
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  • Unraveling the differential dynamics of developmental fate in central and peripheral nervous systems
    Dola Sengupta, Sandip Kar
    bioRxiv 072579; doi: https://doi.org/10.1101/072579
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  • Effective Dynamic Models of Metabolic Networks
    Michael Vilkhovoy, Mason Minot, Jeffrey D. Varner
    bioRxiv 047316; doi: https://doi.org/10.1101/047316
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  • Network analysis links genome-wide phenotypic and transcriptional stress responses in a bacterial pathogen with a large pan-genome
    Paul A. Jensen, Zeyu Zhu, Tim van Opijnen
    bioRxiv 071704; doi: https://doi.org/10.1101/071704
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  • Dynamics Robustness of Cascading Systems
    Jonathan T. Young, Tetsuhiro S. Hatakeyama, Kunihiko Kaneko
    bioRxiv 071589; doi: https://doi.org/10.1101/071589
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  • Numerical Analysis of the Immersed Boundary Method for Cell-Based Simulation
    Fergus R. Cooper, Ruth E. Baker, Alexander G. Fletcher
    bioRxiv 071423; doi: https://doi.org/10.1101/071423
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  • Deciphering the tissue specificity of the protein secretory pathway in humans
    Amir Feizi, Francesco Gatto, Mathias Uhlen, Jens Nielsen
    bioRxiv 070870; doi: https://doi.org/10.1101/070870
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  • Using approximate Bayesian computation to quantify cell-cell adhesion parameters in a cell migratory process
    Robert J. H. Ross, R. E. Baker, Andrew Parker, M. J. Ford, R. L. Mort, C. A. Yates
    bioRxiv 068791; doi: https://doi.org/10.1101/068791
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