Recent advances in the reconstruction of metabolic models and integration of omics data

被引:86
作者
Saha, Rajib [1 ]
Chowdhury, Anupam [1 ]
Maranas, Costas D. [1 ]
机构
[1] Penn State Univ, Dept Chem Engn, University Pk, PA 16802 USA
基金
美国能源部;
关键词
PARALLEL LABELING EXPERIMENTS; GENOME-SCALE MODELS; GENE-EXPRESSION; FLUX ANALYSIS; NETWORK; PHENOTYPE; SIMULATION; PARAMETERS; PREDICTION; FRAMEWORK;
D O I
10.1016/j.copbio.2014.02.011
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
With the ever-accelerating pace of genome sequencing and annotation information generation, the development of computational pipelines for the rapid reconstruction of high-quality metabolic networks has received significant attention. Herein, we review the available biological databases and automated/semi-automated reconstruction tools. In addition, we describe available methodologies for the integration of high-throughput omics data to increase metabolic phenotype prediction accuracy. Data heterogeneity and lack of better integration of metabolic reconstruction pipelines with omics data generation protocols have hampered rapid progress thus far.
引用
收藏
页码:39 / 45
页数:7
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