Bussemaker, Harmen J

Evaluation of methods for modeling transcription factor sequence specificity

DREAM5 Consortium, Weirauch, M. T., Cote, A., Norel, R., Annala, M., Zhao, Y., Riley, T. R., Saez-Rodriguez, J., Cokelaer, T., Vedenko, A., et al. (2013) · Nature Biotechnology

Genomics and Chromatin DynamicsGenomics and Phylogenetic Studies

Cited by 381

Defining transcriptional networks through integrative modeling of mRNA expression and transcription factor binding data

Gao, F., Foat, B. C., & Bussemaker, H. J. (2004) · BMC Bioinformatics

Gene Regulatory Network AnalysisGenomics and Chromatin Dynamics

Cited by 247

Probing DNA shape and methylation state on a genomic scale with DNase I

Lazarovici, A., Zhou, T., Shafer, A., Dantas Machado, A. C., Riley, T. R., Sandstrom, R., Sabo, P. J., Lu, Y., Rohs, R., Stamatoyannopoulos, J. A., et al. (2013) · Proceedings of the National Academy of Sciences

Epigenetics and DNA MethylationGenomics and Chromatin Dynamics

Cited by 162

Genome-wide mapping of autonomous promoter activity in human cells

van Arensbergen, J., FitzPatrick, V. D., de Haas, M., Pagie, L., Sluimer, J., Bussemaker, H. J., & van Steensel, B. (2017) · Nature Biotechnology

Genomics and Chromatin DynamicsEpigenetics and DNA Methylation

Cited by 140

Evolving insights on how cytosine methylation affects protein-DNA binding

Dantas Machado, A. C., Zhou, T., Rao, S., Goel, P., Rastogi, C., Lazarovici, A., Bussemaker, H. J., & Rohs, R. (2015) · Briefings in Functional Genomics

Epigenetics and DNA MethylationGenomics and Chromatin Dynamics

Cited by 124