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  1. 2019
  2. Published
  3. E-pub ahead of print
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  10. 2018
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    Kuhn, T., Meroño-Peñuela, A., Malic, A., Poelen, J. H., Hurlbert, A. H., Ortiz, E. C., ... Dumontier, M. (2018). Nanopublications: A Growing Resource of Provenance-Centric Scientific Linked Data. In 2018 IEEE 14th International Conference on e-Science (e-Science) (pp. 83-92). (Proceedings of IEEE e-Science).
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  27. 2017
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    Curran, A. M., Fogarty Draper, C., Scott-Boyer, M-P., Valsesia, A., Roche, H. M., Ryan, M. F., ... Kaput, J. (2017). Sexual Dimorphism, Age, and Fat Mass Are Key Phenotypic Drivers of Proteomic Signatures. Journal of Proteome Research, 16(11), 4122-4133. https://doi.org/10.1021/acs.jproteome.7b00501
  30. Published
    Leist, M., Ghallab, A., Graepel, R., Marchan, R., Hassan, R., Bennekou, S. H., ... Hengstler, J. G. (2017). Adverse outcome pathways: opportunities, limitations and open questions. Archives of Toxicology, 91(11), 3477-3505. https://doi.org/10.1007/s00204-017-2045-3
  31. Published
    Kuhn, T., Willighagen, E., Evelo, C., Queralt-rosinach, N., Centeno, E., & Furlong, L. I. (2017). Reliable Granular References to Changing Linked Data. In The Semantic Web – ISWC 2017: 16th International Semantic Web Conference, Vienna, Austria, October 21–25, 2017, Proceedings, Part I (1 ed., Vol. 10587, pp. 436-451). (The Semantic Web – ISWC 2017; Vol. 10587). Springer. https://doi.org/10.1007/978-3-319-68288-4_26
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  38. 2016
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    Rodriguez, N., Pettit, J-B., Pezze, P. D., Li, L., Henry, A., van Iersel, M. P., ... Le Novere, N. (2016). The systems biology format converter. BMC Bioinformatics, 17, [154]. https://doi.org/10.1186/s12859-016-1000-2
  49. Published
    Wilkinson, M. D., Dumontier, M., Aalbersberg, IJ. J., Appleton, G., Axton, M., Baak, A., ... Mons, B. (2016). Comment: The FAIR Guiding Principles for scientific data management and stewardship. Scientific data, 3, [160018]. https://doi.org/10.1038/sdata.2016.18
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    Digles, D., Zdrazil, B., Neefs, J. -M., Van Vlijmen, H., Herhaus, C., Caracoti, A., ... Jacoby, E. (2016). Open PHACTS computational protocols for in silico target validation of cellular phenotypic screens: knowing the knowns. Medchemcomm, 7(6), 1237-1244. https://doi.org/10.1039/c6md00065g
  52. 2015
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  55. Published
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