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Orchestrating hi-fi annotations

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By incorporating sequence homology and context associations, global probabilistic approaches to annotate genome-scale metabolic networks can substantially improve the accuracy of biochemical predictions, revealing potential functionality and directing experimental validation.

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Figure 1: Conceptual idea of context providing key decision-making information.

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Authors and Affiliations

  1. Department of Chemical Engineering, Patrick F. Suthers and Costas D. Maranas are at Pennsylvania State University, University Park, Pennsylvania, USA.,

    Patrick F Suthers & Costas D Maranas

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  1. Patrick F Suthers
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  2. Costas D Maranas
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Correspondence to Costas D Maranas.

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The authors declare no competing financial interests.

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Suthers, P., Maranas, C. Orchestrating hi-fi annotations. Nat Chem Biol 8, 810–811 (2012). https://doi.org/10.1038/nchembio.1067

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