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  • 标题:Methods for integration of transcriptomic data in genome-scale metabolic models
  • 本地全文:下载
  • 作者:Min Kyung Kim ; Desmond S. Lun
  • 期刊名称:Computational and Structural Biotechnology Journal
  • 印刷版ISSN:2001-0370
  • 出版年度:2014
  • 卷号:11
  • 期号:18
  • 页码:59-65
  • DOI:10.1016/j.csbj.2014.08.009
  • 语种:
  • 出版社:Computational and Structural Biotechnology Journal
  • 摘要:Several computational methods have been developed that integrate transcriptomic data with genome-scale metabolic reconstructions to infer condition-specific system-wide intracellular metabolic flux distributions. In this mini-review, we describe each of these methods published to date with categorizing them based on four different grouping criteria (requirement for multiple gene expression datasets as input, requirement for a threshold to define a gene's high and low expression, requirement for a priori assumption of an appropriate objective function, and validation of predicted fluxes directly against measured intracellular fluxes). Then, we recommend which group of methods would be more suitable from a practical perspective.
  • 关键词:Flux balance analysis ; Contraint-based model ; Omics
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