Kristina Hettne
Digital Scholarship Librarian
- Naam
- Dr. K.M. Hettne
- Telefoon
- +31 71 527 7281
- k.m.hettne@library.leidenuniv.nl
- ORCID iD
- 0000-0002-4182-7560
Digital Scholarship Librarian
- Universitaire Bibliotheken Leiden
- Onderzoek & Onderwijs Diensten
- Centre for Digital Scholarship
- Huijser D.C., Achterberg M., Wierenga L.M., Van 't Veer A.E., Klapwijk E.T., Van Erkel R. & Hettne K. (2020), MRI data sharing guide. Zenodo: Zenodo.
- Jacobsen A., Miranda Azevedo R. de, Juty N., Batista D., Coles S., Cornet R., Courtot M., Crosas M., Dumontier M., Evelo C.T., Goble C., Guizzardi G., Kryger Hansen K., Hasnain A., Hettne K., Heringa J., Hooft R.W.W., Imming M., Jeffery K.G., Kaliyaperumal R., Kersloot M.G., Kirkpatrick C.R., Kuhn T., Labastida I., Magagna B., McQuilton P., Meyers N., Montesanti A., Reisen M.E.H. van, Rocca-Serra P., Pergl R., Sansone S., Olavo Bonino da Silva Santos L., Schneider J., Strawn G., Thompson M., Waagmeester A., Weigel T., Wilkinson M.D., Willighagen E., Wittenburg P., Roos M., Mons B. & Schultes E. (2020), FAIR principles: interpretations and implementation considerations, Data Intelligence 2(1-2): 10-29.
- Malas T.B., Leonhard W.N., Bange H., Granchi Z., Hettne K.M., Westen G.J.P. van, Price L.S., Hoen P.A.C. 't & Peters D.J.M. (2020), Prioritization of novel ADPKD drug candidates from disease-stage specific gene expression profiles, EBioMedicine 51: 102585.
- Southall N.T., Natarajan M., Lau L.P.L., Jonker A.H., Deprez B., Guilliams T., Hunter L., Rademaker C.M.A., Hivert V., Ardigo D., Cavalla D., Colvis C., Hettne K.M., 't Hoen P.B., Kant C., Krischer J., Marin F., Quintana J., Rademaker C., Reed J., Southali N., Tsigkos S. & Thompson R. (2019), The use or generation of biomedical data and existing medicines to discover and establish new treatments for patients with rare diseases - recommendations of the IRDiRC Data Mining and Repurposing Task Force, Orphanet Journal of Rare Diseases 14: 225.
- Malas T.B., Vlietstra W.J., Kudrin R., Starikov S., Charrout M., Roos M., Peters D.J.M., Kors J.A., Vos R., Hoen P.A.C. 't, Mulligen E.M. van & Hettne K.M. (2019), Drug prioritization using the semantic properties of a knowledge graph, Scientific Data 9(1): 6281.
- Koorneef L.L., Heuvel J.K. van den, Kroon J., Boon M.R., Hoen P.A.C. 't, Hettne K.M., Velde N.M. van de, Kolenbrander K.B., Streefland T.C.M., Mol I.M., Sips H.C.M., Kielbasa S.M., Mei H., Belanoff J.K., Pereira A.M., Oosterveer M.H., Hunt H., Rensen P.C.N. & Meijer O.C. (2018), Selective Glucocorticoid Receptor Modulation Prevents and Reverses Nonalcoholic Fatty Liver Disease in Male Mice, Endocrinology 159(12): 3925-3936.
- Spitali P., Hettne K., Tsonaka R., Charrout M., Bergen J. van den, Koeks Z., Kan H.E., Hooijmans M.T., Roos A., Straub V., Muntoni F., Al-Khalili-Szigyarto C., Koel-Simmelink M.J., Teunissen C.E., Lochmuller H., Niks E.H. & Aartsma-Rus A. (2018), Tracking disease progression non-invasively in Duchenne and Becker muscular dystrophies, Journal of Cachexia, Sarcopenia and Muscle 9: 715-726.
- Toonen L.J.A., Overzier M., Evers M.M., Leon L.G., Zeeuw S.A.J. van der, Mei H.L., Kielbasa S.M., Goeman J.J., Hettne K.M., Magnusson O.T., Poirel M., Seyer A., Hoen P.A.C. 't & Roon-Mom W.M.C. van (2018), Transcriptional profiling and biomarker identification reveal tissue specific effects of expanded ataxin-3 in a spinocerebellar ataxia type 3 mouse model, Molecular Neurodegeneration 13: .
- Moursel L.G., Roon-Mom W.M.C. van, Kielbasa S.M., Mei H., Buermans H.P.J., Graaf L.M. van der, Hettne K.M., Meijer E.J. de, Duinen S.G. van, Laros J.F.J., Buchem M.A. van, Hoen P.A.C.'t., Maarel S.M. van der & Weerd L. van der (2018), Brain Transcriptomic Analysis of Hereditary Cerebral Hemorrhage With Amyloidosis-Dutch Type, Frontiers in Aging Neuroscience 10: e102.
- Farnham A., Kurz C., Oeztuerk M.A., Solbiati M., Myllyntaus O., Meekes J., Pham T.M., Paz C., Langiewicz M., Andrews S., Kanninen L., Agbemabiese C., Guler A.T., Durieux J., Jasim S., Viessmann O., Frattini S., Yembergenova D., Benito C.M., Porte M., Grangeray-Vilmint A., Curiel R.P., Rehncrona C., Malas T., Esposito F. & Hettne K. (2017), Early career researchers want Open Science, Genome Biology 18: e221.
- Mina E., Roon-Mom W. van, Hettne K.M., Zwet E. van, Goeman J., Neri C., Hoen P.A.C. 't, Mons B. & Roos M. (2016), Common disease signatures from gene expression analysis in Huntington's disease human blood and brain, Orphanet Journal of Rare Diseases 11: .
- Mastrokolias A., Pool R., Mina E., Hettne K.M., Duijn E. van, Mast R.C. van der, Ommen G. van, Hoen P.A.C. 't, Prehn C., Adamski J. & Roon-Mom W. van (2016), Integration of targeted metabolomics and transcriptomics identifies deregulation of phosphatidylcholine metabolism in Huntington's disease peripheral blood samples, Metabolomics 12: 137.
- Akhondi S.A., Pons E., Afzal Z., Haagen H. van, Becker B.F.H., Hettne K.M., Mulligen E.M. van & Kors J.A. (2016), Chemical entity recognition in patents by combining dictionary-based and statistical approaches, Database : the Journal of Biological Databases and Curation 2016: baw061.
- Hettne K.M., Thompson M., Haagen H.H.H.B.M. van, Horst E. van der, Kaliyaperumal R., Mina E., Tatum Z., Laros J.F.J., Mulligen E.M. van, Schuemie M., Aten E., Li T.S., Bruskiewich R., Good B.M., Su A.I., Kors J.A., Dunnen J. den, Ommen G.J.B. van, Roos M., Hoen P.A. 't, Mons B. & Schultes E.A. (2016), The Implicitome: A Resource for Rationalizing Gene-Disease Associations, PLoS ONE 11: .
- Belhajjame K., Zhao J., Garijo D., Gamble M., Hettne K., Palma R., Mina E., Corcho O., Gomez-Perez J.M., Bechhofer S., Klyne G. & Goble C. (2015), Using a suite of ontologies for preserving workflow-centric research objects, Journal of Web Semantics 32: 16-42.
- Mina E., Thompson M., Kaliyaperumal R., Zhao J., Horst E. van der, Tatum Z., Hettne K.M., Schultes E.A., Mons B. & Roos M. (2015), Nanopublications for exposing experimental data in the life-sciences: a Huntington's Disease case study, Journal of Biomedical Semantics 6(5): .
- Akhondi S.A., Hettne K.M., Horst E. van der, Mulligen E.M.van & Kors J.A. (2015), Recognition of chemical entities: combining dictionary-based and grammar-based approaches, Journal of Cheminformatics 7(suppl. 1): S10.
- Hettne K.M., Dharuri H., Zhao J., Wolstencroft K., Belhajjame K., Soiland-Reyes S., Mina E., Thompson M., Cruickshank D., Verdes-Montenegro L., Garrido J., Roure D. de, Corcho O., Klyne G., Schouwen R. van, Hoen P.A.C. 't, Bechhofer S., Goble C. & Roos M. (2014), Structuring research methods and data with the research object model: genomics workflows as a case study, Journal of Biomedical Semantics 5: 41.
- Dharuri H., Henneman P., Demirkan A., Klinken J.B., Mook-Kanamori D.O., Wang-Sattler R., Gieger C., Adamski J., Hettne K.M., Roos M., Suhre K., Van Duijn C.M., Dijk K.W. van & Hoen P.A.C. 't (2013), Automated workflow-based exploitation of pathway databases provides new insights into genetic associations of metabolite profiles, BMC Genomics 14: .
- Hettne K.M., Boorsma A., Dartel D.A.M. van, Goeman J.J., Jong E. de, Piersma A.H., Stierum R.H., Kleinjans J.C. & Kors J.A. (2013), Next-generation text-mining mediated generation of chemical response-specific gene sets for interpretation of gene expression data, BMC Medical Genomics 6: 2.
- Hettne K.M, Dharuri H., Zhao J., Wolstencroft K., Belhajjame K., Soiland-Reyes S., Mina E., Thompson M., Cruickshank D., Verdes-Montenegro L. & others (2013), Structuring research methods and data with the Research Object model: genomics workflows as a case study.
- Jelier R., Goeman J.J., Hettne K.M., Schuemie M.J., Dunnen J. den & Hoen P.A.C. 't (2011), Literature-aided interpretation of gene expression data with the weighted global test, Briefings in Bioinformatics 12(5): 518-529.
- Hettne K.M., Mulligen E.M. van, Schuemie M.J., Schijvenaars B.J.A. & Kors J.A. (2010), Rewriting and suppressing UMLS terms for improved biomedical term identification, Journal of Biomedical Semantics 1: 5.
- Hettne K.M., Williams A.J., Mulligen E.M. van, Kleinjans J., Tkachenko V. & Kors J.A. (2010), Automatic vs. manual curation of a multi-source chemical dictionary: the impact on text mining, Journal of Cheminformatics 2: .
- Hettne K.M., Stierum R.H., Schuemie M.J., Hendriksen P.J.M., Schijvenaars B.J.A., Mulligen E.M., Van Kleinjans J. & Kors J.A. (2009), A dictionary to identify small molecules and drugs in free text, Bioinformatics 25(22): 2983-2991.
- Mulligen E.M. van, Cases M., Hettne K.M., Molero E., Weeber M., Robertson K.A., Oliva B., Calle G. de la & Maojo V. (2008), Training multidisciplinary biomedical informatics students: Three years of experience, Journal of the American Medical Informatics Association 15: 246-254.
- Hettne KM, Weeber M, Laine ML, Ten Cate H, Boyer S, Kors JA & Loos BG (2007), Automatic mining of the literature to generate new hypotheses for the possible link between periodontitis and atherosclerosis: lipopolysaccharide as a case study, Journal of Clinical Periodontology 34: 1016-1024.
- Hettne K.M., Mos M. de, Bruijn A.G. de, Weeber M., Boyer S., Mulligen E.M. van, Cases M., Mestres J. & Lei J. van der (2007), Applied information retrieval and multidisciplinary research: new mechanistic hypotheses in complex regional pain syndrome, Journal of biomedical discovery and collaboration 2: 2.
- Hettne K., Casesl M., Boyer S. & Mestres J. (2007), Connecting small molecules to nuclear receptor pathways, Current Topics in Medicinal Chemistry 7: 1530-1536.
- Cases M., Garcia-Serna R., Hettne K., Weeber M., Van der Lei J., Boyer S. & Mestres J. (2005), Chemical and biological profiling of an annotated compound library directed to the nuclear receptor family, Current Topics in Medicinal Chemistry 5: 763-772.
- Member of the Advisory Board of Genetics & Genomics Next
- Review Editor