| Pan-cancer analysis of whole genomes Nature 578 (7793), 82-93, 2020 | 1599 | 2020 |
| Telomerase activation by genomic rearrangements in high-risk neuroblastoma M Peifer, F Hertwig, F Roels, D Dreidax, M Gartlgruber, R Menon, ... Nature 526 (7575), 700-704, 2015 | 627 | 2015 |
| Identification of regulatory networks in HSCs and their immediate progeny via integrated proteome, transcriptome, and DNA methylome analysis N Cabezas-Wallscheid, D Klimmeck, J Hansson, DB Lipka, A Reyes, ... Cell stem cell 15 (4), 507-522, 2014 | 584 | 2014 |
| Analyses of non-coding somatic drivers in 2,658 cancer whole genomes E Rheinbay, MM Nielsen, F Abascal, JA Wala, O Shapira, G Tiao, ... Nature 578 (7793), 102-111, 2020 | 579 | 2020 |
| Atypical teratoid/rhabdoid tumors are comprised of three epigenetic subgroups with distinct enhancer landscapes PD Johann, S Erkek, M Zapatka, K Kerl, I Buchhalter, V Hovestadt, ... Cancer cell 29 (3), 379-393, 2016 | 541 | 2016 |
| Myelodysplastic cells in patients reprogram mesenchymal stromal cells to establish a transplantable stem cell niche disease unit H Medyouf, M Mossner, JC Jann, F Nolte, S Raffel, C Herrmann, A Lier, ... Cell stem cell 14 (6), 824-837, 2014 | 436 | 2014 |
| Decoding the regulatory landscape of melanoma reveals TEADS as regulators of the invasive cell state A Verfaillie, H Imrichova, ZK Atak, M Dewaele, F Rambow, G Hulselmans, ... Nature communications 6 (1), 6683, 2015 | 428 | 2015 |
| BCAT1 restricts αKG levels in AML stem cells leading to IDHmut-like DNA hypermethylation S Raffel, M Falcone, N Kneisel, J Hansson, W Wang, C Lutz, L Bullinger, ... Nature 551 (7680), 384-388, 2017 | 336 | 2017 |
| RSAT 2011: regulatory sequence analysis tools M Thomas-Chollier, M Defrance, A Medina-Rivera, O Sand, C Herrmann, ... Nucleic acids research 39 (suppl_2), W86-W91, 2011 | 297 | 2011 |
| RSAT 2015: regulatory sequence analysis tools A Medina-Rivera, M Defrance, O Sand, C Herrmann, ... Nucleic acids research 43 (W1), W50-W56, 2015 | 282 | 2015 |
| RSAT peak-motifs: motif analysis in full-size ChIP-seq datasets M Thomas-Chollier, C Herrmann, M Defrance, O Sand, D Thieffry, ... Nucleic acids research 40 (4), e31-e31, 2012 | 271 | 2012 |
| Genome-wide DNA-methylation landscape defines specialization of regulatory T cells in tissues M Delacher, CD Imbusch, D Weichenhan, A Breiling, A Hotz-Wagenblatt, ... Nature immunology 18 (10), 1160-1172, 2017 | 247 | 2017 |
| Deconvolution of single-cell multi-omics layers reveals regulatory heterogeneity L Liu, C Liu, A Quintero, L Wu, Y Yuan, M Wang, M Cheng, L Leng, L Xu, ... Nature communications 10 (1), 470, 2019 | 206 | 2019 |
| i-cisTarget: an integrative genomics method for the prediction of regulatory features and cis-regulatory modules C Herrmann, B Van de Sande, D Potier, S Aerts Nucleic acids research 40 (15), e114-e114, 2012 | 199 | 2012 |
| Single-cell transcriptomic analyses provide insights into the developmental origins of neuroblastoma S Jansky, AK Sharma, V Körber, A Quintero, UH Toprak, EM Wecht, ... Nature genetics 53 (5), 683-693, 2021 | 184 | 2021 |
| Clustering proteins from interaction networks for the prediction of cellular functions C Brun, C Herrmann, A Guénoche BMC bioinformatics 5, 1-11, 2004 | 156 | 2004 |
| A comprehensive comparison of tools for differential ChIP-seq analysis S Steinhauser, N Kurzawa, R Eils, C Herrmann Briefings in bioinformatics, bbv110, 2016 | 137 | 2016 |
| Passenger mutations in more than 2,500 cancer genomes: overall molecular functional impact and consequences S Kumar, J Warrell, S Li, PD McGillivray, W Meyerson, L Salichos, ... Cell 180 (5), 915-927. e16, 2020 | 130 | 2020 |
| A complete workflow for the analysis of full-size ChIP-seq (and similar) data sets using peak-motifs M Thomas-Chollier, E Darbo, C Herrmann, M Defrance, D Thieffry, ... Nature protocols 7 (8), 1551-1568, 2012 | 127 | 2012 |
| Environment‐induced epigenetic reprogramming in genomic regulatory elements in smoking mothers and their children T Bauer, S Trump, N Ishaque, L Thürmann, L Gu, M Bauer, M Bieg, Z Gu, ... Molecular Systems Biology 12 (3), 861, 2016 | 124 | 2016 |
Roland EilsProfessor for Digital Health, Charité-Universitätsmedizin Berlin and Berlin Institute of HealthVerified email at charite.de
