Publications
Nucleosome free regions in yeast promoters result from competitive binding of transcription factors that interact with chromatin modifiers/
Posted in Publications, publishedNo Comment
EA Ozonov and E van Nimwegen
Nucleosome free regions in yeast promoters result from competitive binding of transcription factors that interact with chromatin modifiers
PLoS computational biology, 2013, 9 (8), e1003181
Sox4 is a master regulator of epithelial-mesenchymal transition by controlling Ezh2 expression and epigenetic reprogramming.
Posted in Publications, publishedNo Comment
N Tiwari, VK Tiwari, L Waldmeier, PJ Balwierz, P Arnold, M Pachkov, N Meyer-Schaller, D Schübeler, E van Nimwegen and G Christofori
Sox4 is a master regulator of epithelial-mesenchymal transition by controlling Ezh2 expression and epigenetic reprogramming
Cancer Cell, 2013 23 (6), 768-783
Parity induces differentiation and reduces Wnt/Notch signaling ratio and proliferation potential of basal stem/progenitor cells isolated from mouse mammary epithelium
Posted in Publications, publishedNo Comment
F Meier-Abt, E Milani, T Roloff, H Brinkhaus, S Duss, DS Meyer, I Klebba, PJ Balwierz, E Van Nimwegen and M Bentires-Alj
Parity induces differentiation and reduces Wnt/Notch signaling ratio and proliferation potential of basal stem/progenitor cells isolated from mouse mammary epithelium
Breast Cancer Research, 2013, 15 (2), R36
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Klf4 is a transcriptional regulator of genes critical for EMT, including Jnk1 (Mapk8).
Posted in Publications, publishedNo Comment
N Tiwari, N Meyer-Schaller, P Arnold, H Antoniadis, M Pachkov, E van Nimwegen, G Christofori
Klf4 is a transcriptional regulator of genes critical for EMT, including Jnk1 (Mapk8)
PloS one, 2013, 8 (2), e57329
Quantitative analysis of persister fractions suggests different mechanisms of formation among environmental isolates of E. coli.
Posted in Publications, publishedNo Comment
N Hofsteenge, E van Nimwegen, OK Silander
Quantitative analysis of persister fractions suggests different mechanisms of formation among environmental isolates of E. coli
BMC microbiology, 2013, 13 (1), 25
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A biophysical miRNA-mRNA interaction model infers canonical and noncanonical targets.
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M Khorshid, J Hausser, M Zavolan and E van Nimwegen
A biophysical miRNA-mRNA interaction model infers canonical and noncanonical targets
Nature methods, 2013, 10 (3), 253-255
Rahul Siddharthan, Erik van Nimwegen Detecting regulatory sites using PhyloGibbs. Methods in molecular biology (Clifton, N.J.),2007, 395, 381-402.
Read moreFinding regulatory elements and regulatory motifs: a general probabilistic framework.
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E. van Nimwegen Finding regulatory elements and regulatory motifs: a general probabilistic framework. BMC Bioinformatics, 2007, 8 Suppl 6, S4.
Read moreInference of miRNA targets using evolutionary conservation and pathway analysis.
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D. Gaidatzis, E. van Nimwegen, J. Hausser, M. Zavolan Inference of miRNA targets using evolutionary conservation and pathway analysis. BMC Bioinformatics, 2007, 8, 69
Read moreSwissRegulon: a database of genome-wide annotations of regulatory sites.
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M. Pachkov, I. Erb, N. Molina, E. van Nimwegen SwissRegulon: a database of genome-wide annotations of regulatory sites. Nucleic Acids Research, 35(Database issue), 2007, D127-31.
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