1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Mathematical modeling of gene expression: a guide for the perplexed biologist.

      Critical Reviews in Biochemistry and Molecular Biology
      Gene Expression, Gene Regulatory Networks, Models, Genetic, Signal Transduction, Systems Biology

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The detailed analysis of transcriptional networks holds a key for understanding central biological processes, and interest in this field has exploded due to new large-scale data acquisition techniques. Mathematical modeling can provide essential insights, but the diversity of modeling approaches can be a daunting prospect to investigators new to this area. For those interested in beginning a transcriptional mathematical modeling project, we provide here an overview of major types of models and their applications to transcriptional networks. In this discussion of recent literature on thermodynamic, Boolean, and differential equation models, we focus on considerations critical for choosing and validating a modeling approach that will be useful for quantitative understanding of biological systems.

          Related collections

          Author and article information

          Journal
          21417596
          3086598
          10.3109/10409238.2011.556597

          Chemistry
          Gene Expression,Gene Regulatory Networks,Models, Genetic,Signal Transduction,Systems Biology

          Comments

          Comment on this article