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Naue, J., Hoefsloot, H. C. J., Kloosterman, A. D., & Verschure, P. J. (2018). Forensic DNA methylation profiling from minimal traces: How low can we go? Forensic Science International. Genetics, 33, 17-23. https://doi.org/10.1016/j.fsigen.2017.11.004[details]
Naue, J., Sänger, T., Hoefsloot, H. C. J., Lutz-Bonengel, S., Kloosterman, A. D., & Verschure, P. J. (2018). Proof of concept study of age-dependent DNA methylation markers across different tissues by massive parallel sequencing. Forensic Science International. Genetics, 36, 152-159. https://doi.org/10.1016/j.fsigen.2018.07.007[details]
Quaak, F. C. A., van Duijn, T., Hoogenboom, J., Kloosterman, A. D., & Kuiper, I. (2018). Human-associated microbial populations as evidence in forensic casework. Forensic Science International: Genetics, 36, 176-185. https://doi.org/10.1016/j.fsigen.2018.06.020
van Dam, A., van Weert, A., Falkena, K., Weymans, C., Kloosterman, A. D., Lambrechts, S. A. G., van Leeuwen, T. G., & Aalders, M. C. G. (2018). Sex determination from fingermarks using fluorescent in situ hybridization. Analytical Methods, 10(12), 1413-1419. Advance online publication. https://doi.org/10.1039/c7ay02805a[details]
2017
Naue, J., Hoefsloot, H. C. J., Mook, O. R. F., Rijlaarsdam-Hoekstra, L., van der Zwalm, M. C. H., Henneman, P., Kloosterman, A. D., & Verschure, P. J. (2017). Chronological age prediction based on DNA methylation: Massive parallel sequencing and random forest regression. Forensic Science International. Genetics, 31, 19-28. https://doi.org/10.1016/j.fsigen.2017.07.015[details]
Steensma, K., Ansell, R., Clarisse, L., Connolly, E., Kloosterman, A. D., McKenna, L. G., van Oorschot, R. A. H., Szkuta, B., & Kokshoorn, B. (2017). An inter-laboratory comparison study on transfer, persistence and recovery of DNA from cable ties. Forensic Science International: Genetics, 31, 95-104. https://doi.org/10.1016/j.fsigen.2017.08.015
Woldegebriel, M., van Asten, A., Kloosterman, A., & Vivó-Truyols, G. (2017). Probabilistic peak detection in CE-LIF for STR DNA typing. Electrophoresis, 38(13-14), 1713-1723. https://doi.org/10.1002/elps.201600550[details]
2015
Kloosterman, A., Mapes, A., Geradts, Z., van Eijk, E., Koper, C., van den Berg, J., Verheij, S., van der Steen, M., & van Asten, A. (2015). The interface between forensic science and technology: how technology could cause a paradigm shift in the role of forensic institutes in the criminal justice system. Philosophical Transactions of the Royal Society B - Biological Sciences, 370(1674), Article 20140264. https://doi.org/10.1098/rstb.2014.0264[details]
Kloosterman, A., Sjerps, M., & Quak, A. (2014). Error rates in forensic DNA analysis: Definition, numbers, impact and communication. Forensic Science International. Genetics, 12, 77-85. https://doi.org/10.1016/j.fsigen.2014.04.014[details]
2011
van der Beek, C. P., Kloosterman, A. D., & Sjerps, M. J. (2011). De detectie van vals positieve en de preventie van vals negatieve matches bij grootschalige DNA-databankvergelijkingen. Expertise en Recht, 2011(6), 219-221. http://www.uitgeverijparis.nl/reader/6084/5462[details]
2009
Zubakov, D., Kokshoorn, M., Kloosterman, A., & Kayser, M. (2009). New markers for old stains: Stable mRNA markers for blood and saliva identification from up to 16-year-old stains. International Journal of Legal Medicine, 123(1), 71-74. https://doi.org/10.1007/s00414-008-0249-z[details]
Harris, H. A., Sjerps, M. J., Kloosterman, A. D., Quak, A., & Geradts, Z. J. (2014). Framework for Registration, Classification, and evaluation of errors in the Forensic DNA Typing Process. Proceedings of the American Academy of Forensic Sciences, 20, 19. Article W13. http://www.aafs.org/sites/default/files/AAFS2014Proceedings.pdf[details]
Mapes, A. A. (2017). Rapid DNA technologies at the crime scene: ‘CSI’ fiction matching reality. [Thesis, externally prepared, Universiteitsbibliotheek]. [details]
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