Logical transformation of genome-scale metabolic models for gene level applications and analysis | Zendy

Cheng Zhang | Zendy; Boyang Ji | Zendy; Adil Mardinoğlu | Zendy; Jens Nielsen | Zendy; Qiang Hua | Zendy

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Logical transformation of genome-scale metabolic models for gene level applications and analysis

Author(s) -

Cheng Zhang,

Boyang Ji,

Adil Mardinoğlu,

Jens Nielsen,

Qiang Hua

Publication year - 2015

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btv134

Subject(s) - toolbox , computer science , transformation (genetics) , source code , computational biology , software , flux balance analysis , genome , matlab , scale (ratio) , data mining , gene , biology , programming language , genetics , physics , quantum mechanics

In recent years, genome-scale metabolic models (GEMs) have played important roles in areas like systems biology and bioinformatics. However, because of the complexity of gene-reaction associations, GEMs often have limitations in gene level analysis and related applications. Hence, the existing methods were mainly focused on applications and analysis of reactions and metabolites.

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