The art of gene function prediction

  title={The art of gene function prediction},
  author={T. M. Murali and Chang-Jiun Wu and Simon Kasif},
  journal={Nature Biotechnology},
VOLUME 24 NUMBER 12 DECEMBER 2006 NATURE BIOTECHNOLOGY We suggest that state policy makers begin by eliminating those activities that are clearly best left to federal agencies—drug approval and drug safety, for example, or situations in which national health and security are at stake, such as pandemic preparedness. Next, it’s important to recognize that federal/ state partnerships make considerable sense in a wide range of areas, including workforce development and research infrastructure… CONTINUE READING

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Publications referenced by this paper.

An Experimental Approach to Genome Annotation

R. J. Roberts, S. Kasif, S. Linn, M. R. Buckley
PLoS Biol . • 2004

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