2016

D. Digles, B. Zdrazil, J.-M. Neefs, H. V. Vlijmen, C. Herhaus, A. Caracoti, B. R. J. Brea, M. Loza, N. Queralt-Rosinach, L. I. Furlong, A. Gaulton, L. Bartek, S. Senger, C. Chichester, O. Engkvist, C. Evelo, G. F. Ecker, and E. Jacoby. Open PHACTS Computational Protocols for in silico Target Validation of Cellular Phenotypic Screens: Knowing the Knowns. Med. Chem. Commun., 2016,7, 1237-1244. doi: 10.1039/C6MD00065G

Kuhn, T., Chichester, C., Krauthammer, M., Queralt-Rosinach, N., Verborgh, R., Giannakopoulos, G., Ngomo, A.C.N., Viglianti, R. and Dumontier, M., 2016. Decentralized provenance-aware publishing with nanopublications (No. e1760v1). PeerJ PrePrints.

N. Queralt-Rosinach, J. Piñero, À. Bravo, F. Sanz, and L. I. Furlong. DisGeNET-RDF: harnessing the innovative power of the Semantic Web to explore the genetic basis of diseases. Bioinformatics. 2016 Jul 15;32(14):2236-8. doi: 10.1093/bioinformatics/btw214

T. S. Li, À. Bravo, L. I. Furlong, B. M. Good, and A. I. Su. Extracting structured chemical-induced disease relations from free text via crowdsourcing. Database, 2016: baw051, 2016. doi: 10.1093/database/baw051.

À. Bravo, T. S. Li, A. I. Su, B. M. Good, and L. I. Furlong. Combining machine learning, crowdsourcing and expert knowledge to detect chemical-induced diseases in text. Database, 2016: baw094. doi: 10.1093/database/baw094.

J. Piñero, A. Berenstein, A. Gonzalez-Perez, A. Chernomoretz, and L. I. Furlong. Uncovering disease mechanisms through network biology in the era of Next Generation Sequencing. Scientific Reports, 6: 24570, 2016. doi: 10.1038/srep24570.

M. F. Abascal, M. J. Besso, M. Rosso, M. V. Mencucci, E. Aparicio, G. Szapiro, L. I. Furlong, and M. H. Vazquez-Levin. CDH1/E-cadherin and solid tumors. An updated gene-disease association analysis using bioinformatics tools. Computational Biology and Chemistry, 60: 9–20, 2016. doi: 10.1016/j.compbiolchem.2015.10.002.