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Results: 176
Number of items: 176
  • Oka, R., Zicola, J., Weber, B., Anderson, S. N., Hodgman, C., Gent, J. I., Wesselink, J.-J., Springer, N. M., Hoefsloot, H. C., Turck, F., & Stam, M. (2017). Additional file 2: of Genome-wide mapping of transcriptional enhancer candidates using DNA and chromatin features in maize [Data set]. Figshare. https://doi.org/10.6084/m9.figshare.c.3833383_d2.v1
  • Oka, R., Zicola, J., Weber, B., Anderson, S. N., Hodgman, C., Gent, J. I., Wesselink, J.-J., Springer, N. M., Hoefsloot, H. C., Turck, F., & Stam, M. (2017). Additional file 3: of Genome-wide mapping of transcriptional enhancer candidates using DNA and chromatin features in maize [Data set]. Figshare. https://doi.org/10.6084/m9.figshare.c.3833383_d3.v1
  • Oka, R., Zicola, J., Weber, B., Anderson, S. N., Hodgman, C., Gent, J. I., Wesselink, J.-J., Springer, N. M., Hoefsloot, H. C., Turck, F., & Stam, M. (2017). Additional file 4: of Genome-wide mapping of transcriptional enhancer candidates using DNA and chromatin features in maize [Data set]. Figshare. https://doi.org/10.6084/m9.figshare.c.3833383_d4.v1
  • Oka, R., Zicola, J., Weber, B., Anderson, S. N., Hodgman, C., Gent, J. I., Wesselink, J.-J., Springer, N. M., Hoefsloot, H. C., Turck, F., & Stam, M. (2017). Additional file 5: of Genome-wide mapping of transcriptional enhancer candidates using DNA and chromatin features in maize [Data set]. Figshare. https://doi.org/10.6084/m9.figshare.c.3833383_d5.v1
  • Oka, R., Zicola, J., Weber, B., Anderson, S. N., Hodgman, C., Gent, J. I., Wesselink, J.-J., Springer, N. M., Hoefsloot, H. C., Turck, F., & Stam, M. (2017). Additional file 6: of Genome-wide mapping of transcriptional enhancer candidates using DNA and chromatin features in maize [Data set]. Figshare. https://doi.org/10.6084/m9.figshare.c.3833383_d6.v1
  • Open Access
    Monsonis Centelles, S., Hoefsloot, H. C. J., Khakimov, B., Ebrahimi, P., Lind, M. V., Kristensen, M., de Roo, N., Jacobs, D. M., van Duynhoven, J., Cannet, C., Fang, F., Humpfer, E., Schäfer, H., Spraul, M., Engelsen, S. B., & Smilde, A. K. (2017). Toward Reliable Lipoprotein Particle Predictions from NMR Spectra of Human Blood: An Interlaboratory Ring Test. Analytical Chemistry, 89(15), 8004-8012. https://doi.org/10.1021/acs.analchem.7b01329
  • Open Access
    Julkowska, M. M., Koevoets, I. T., Mol, S., Hoefsloot, H., Feron, R., Tester, M. A., Keurentjes, J. J. B., Korte, A., Haring, M. A., de Boer, G. J., & Testerink, C. (2017). Genetic Components of Root Architecture Remodeling in Response to Salt Stress. The Plant Cell, 29(12), 3198-3213. https://doi.org/10.1105/tpc.16.00680
  • Open Access
    Oka, R., Zicola, J., Weber, B., Anderson, S. N., Hodgman, C., Gent, J. I., Wesselink, J.-J., Springer, N. M., Hoefsloot, H. C. J., Turck, F., & Stam, M. (2017). Genome-wide mapping of transcriptional enhancer candidates using DNA and chromatin features in maize. Genome Biology, 18, Article 137. https://doi.org/10.1186/s13059-017-1273-4
  • Open Access
    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
  • Open Access
    Aru, V., Lam, C., Khakimov, B., Hoefsloot, H. C. J., Zwanenburg, G., Lind, M. V., Schäfer, H., van Duynhoven, J., Jacobs, D. M., Smilde, A. K., & Engelsen, S. B. (2017). Quantification of lipoprotein profiles by nuclear magnetic resonance spectroscopy and multivariate data analysis. Trends in Analytical Chemistry, 94, 210-219. https://doi.org/10.1016/j.trac.2017.07.009
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