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This article is based upon work from COST Action IS1303 'Citizen's Health through public-private Initiatives: Public health, Market and Ethical perspectives', supported by COST (European Cooperation in Science and Technology) (http://www.cost.eu).eu

To accomplish this, we again use a dynamic programming approach based upon work from Craven et al. (2000) which predicts operons within a DNA sequence from the Escherichia coli K-12 genome.

This material is based upon work supported by Award No. P30 DA018310 from the National Institute on Drug Abuse (NIDA) and Award No. R01 NS045264 from the National Institute of Neurological Disorders and Stroke NINDSS).

This paper is based upon work supported in part by a University Fellowship from Cornell, DHS grant N0014-07-1-0152, the National Science Foundation grants BCS-0537606, CCF-0325453, CNS-0403340, and CCF-0728779, a John D. and Catherine T. MacArthur Foundation Fellowship, a Google Research Grant, a Yahoo!

This material is based upon work supported by a National Security Science and Engineering Faculty Fellowship and a grant from the US Department of Energy, Division of Materials Sciences under Award No. DEFG02-91ER45439.

This material is based upon work supported by the National Science Foundation Graduate Research Fellowship (DGE-1148897 to MKM) and a Postdoctoral Fellowship from the Arthritis Foundation (to GDD).

This material is based upon work supported by the National Science Foundation.

This material is based upon work supported by the US Department of Energy (DOE), Office of Science, Office of Biological and Environmental Research.

This material is based upon work supported by the National Science Foundation (CBET-CAREER program) under Grant No. 1652694.

This Review is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under grant no.

This material is based upon work supported by the Department of Energy under Award Numbers DE-EE0005332 and DE-EE0005953.