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

Bioinformatics. 2014 Jul 15;30(14):2091-2. doi: 10.1093/bioinformatics/btu117. Epub 2014 Mar 3.

¹ School 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.
² School 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, USASchool 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

Contact: m.n.wass@kent.ac.uk or mark@wass.com