MBI Publications

MBI Publications for Dan Siegal-Gaskins (11)

  • D. Siegal-Gaskins, J. Ash and S. Crosson
    Model-based Deconvolution of Cell Cycle Time-series Data Reveals Gene Expression Details at High Resolution
    PLoS Computational BiologyVol. 5 No. 8 (2009)

    Abstract

  • G. Smith, E. Grotewold and D. Siegal-Gaskins
    The capacity for multistability in small gene regulatory networks.
    BMC Syst BiolVol. 3 No. 96 (2009) (Submitted)

    Abstract

  • D. Siegal-Gaskins, J. Ash and S. Crosson
    Model-based Deconvolution of Cell Cycle Time-series Data Reveals Gene Expression Details at High Resolution
    PLoS Comput BiolVol. 5 No. 8 (2009)

    Abstract

  • D. Siegal-Gaskins, E. Grotewold and G. Smith
    The capacity for multistability in small gene regulatory networks
    BMC Syst BiolVol. 3 No. 96 (2009)

    Abstract

  • A. Fiebig, C. Castro Rojas, D. Siegal-Gaskins and S. Crosson
    Interaction specificity and toxicity in a paralogous set of ParE/RelE-family toxin-antitoxin systems
    Mol MicrobiolVol. 77 (2010) pp. 236-251

    Abstract

  • D. Siegal-Gaskins, M. Mejia-Guerra, G. Smith and E. Grotewold
    Emergence of switch-like behavior in a large family of simple biochemical networks
    PLoS Computational BiologyVol. 7 No. 5 (2010)

    Abstract

  • A. Fiebig, C. Castro Rojas, D. Siegal-Gaskins and S. Crosson
    Interaction specificity and toxicity in a paralogous set of ParE/RelE-family toxin-antitoxin systems
    Mol MicrobiolVol. 77 (2010) pp. 236-251

    Abstract

  • M. Eisenberg, J. Ash and D. Siegal-Gaskins
    In silico synchronization of cellular populations through expression data deconvolution
    Proceedings of the 48th ACM/EDAC/IEEE Design Automation Conference (2011) pp. 812-817

    Abstract

  • D. Siegal-Gaskins, M. Mejia-Guerra, G. Smith and E. Grotewold
    Emergence of switch-like behavior in a large family of simple biochemical networks
    PLoS Comput BiolVol. 7 No. 5 (2011)

    Abstract

  • M. Eisenberg, J. Ash and D. Siegal-Gaskins
    In silico synchronization of cellular populations through expression data deconvolution
    Proceedings of the 48th ACM/IEEE Design Automation Conference (2011) pp. 812-817 (Submitted)

    Abstract

  • D. Siegal-Gaskins, J. Ash and S. Crosson
    Model-based Deconvolution of Cell Cycle Time-series Data Reveals Gene Expression Details at High Resolution
    BMC Syst BiolVol. 3 No. 96 (2012)

    Abstract

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