The automated function prediction SIG looks back at 2013 and prepares for 2014

Mark N Wass1, Sean D Mooney1, Michal Linial1

  • 1School of Biosciences, University of Kent, Canterbury, Kent CT2 7NH, UK, The Buck Institute for Research on Aging, Novato, CA 94945, USA, The Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, 91904, Jerusalem Israel, Department of Computer Science and Informatics, Indiana University, Bloomington, IN 47405, USA, Department of Microbiology, Miami University and Department of Computer Science and Software Engineering, Miami University, Oxford, OH 45056, USA.

Abstract

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