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Biochemical networks: The evolution of gene annotation

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Complete and accurate annotation of gene function is an essential starting point for genome interpretation and a host of systems and synthetic biology endeavors. Detecting errors in existing annotation now has an important new tool.

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Figure 1: Overview of gene function prediction methods.

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Authors and Affiliations

  1. Simon Kasif is in the Department of Biomedical Engineering, the Children's Hospital Informatics Program at the Harvard-Massachusetts Institute of Technology Division of Health Sciences and Technology, Boston University, Boston, Massachusetts, USA, Boston, Massachusetts, USA, and the Center for Advanced Genomic Technology, Boston University, Boston, Massachusetts, USA.,

    Simon Kasif

  2. Martin Steffen is in the Department of Biomedical Engineering, and the Department of Pathology and Laboratory Medicine, Boston University, Boston, Massachusetts, USA, Boston University School of Medicine, Boston, Massachusetts, USA.,

    Martin Steffen

Authors
  1. Simon Kasif
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  2. Martin Steffen
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Correspondence to Simon Kasif or Martin Steffen.

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Kasif, S., Steffen, M. Biochemical networks: The evolution of gene annotation. Nat Chem Biol 6, 4–5 (2010). https://doi.org/10.1038/nchembio.288

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