| TT-seq maps the human transient transcriptome B Schwalb, M Michel, B Zacher, K Frühauf, C Demel, A Tresch, J Gagneur, ... Science 352 (6290), 1225-1228, 2016 | 525 | 2016 |
| Dynamic transcriptome analysis measures rates of mRNA synthesis and decay in yeast C Miller, B Schwalb, K Maier, D Schulz, S Dümcke, B Zacher, A Mayer, ... Molecular systems biology 7 (1), 458, 2011 | 485 | 2011 |
| Modelling and simulating generic RNA-Seq experiments with the flux simulator T Griebel, B Zacher, P Ribeca, E Raineri, V Lacroix, R Guigó, M Sammeth Nucleic acids research 40 (20), 10073-10083, 2012 | 341 | 2012 |
| Healthcare-associated pneumonia in acute care hospitals in European Union/European Economic Area countries: an analysis of data from a point prevalence survey, 2011 to 2012 J Walter, S Haller, C Quinten, T Kärki, B Zacher, T Eckmanns, MA Sin, ... Eurosurveillance 23 (32), 1700843, 2018 | 106 | 2018 |
| Accurate promoter and enhancer identification in 127 ENCODE and roadmap epigenomics cell types and tissues by GenoSTAN B Zacher, M Michel, B Schwalb, P Cramer, A Tresch, J Gagneur PloS one 12 (1), e0169249, 2017 | 94 | 2017 |
| SARS-CoV-2 Omicron variants BA. 1 and BA. 2 both show similarly reduced disease severity of COVID-19 compared to Delta, Germany, 2021 to 2022 C Sievers, B Zacher, A Ullrich, M Huska, S Fuchs, S Buda, W Haas, ... Eurosurveillance 27 (22), 2200396, 2022 | 84 | 2022 |
| Application of a new methodology and R package reveals a high burden of healthcare-associated infections (HAI) in Germany compared to the average in the European Union/European … B Zacher, S Haller, N Willrich, J Walter, MA Sin, A Cassini, D Plachouras, ... Eurosurveillance 24 (46), 1900135, 2019 | 62 | 2019 |
| TT‐seq captures enhancer landscapes immediately after T‐cell stimulation M Michel, C Demel, B Zacher, B Schwalb, S Krebs, H Blum, J Gagneur, ... Molecular systems biology 13 (3), 920, 2017 | 55 | 2017 |
| Global DNA hypomethylation prevents consolidation of differentiation programs and allows reversion to the embryonic stem cell state CS Schmidt, S Bultmann, D Meilinger, B Zacher, A Tresch, KC Maier, ... PLoS One 7 (12), e52629, 2012 | 50 | 2012 |
| Starr: simple tiling array analysis of affymetrix ChIP-chip data B Zacher, PF Kuan, A Tresch BMC bioinformatics 11, 1-7, 2010 | 47 | 2010 |
| Joint Bayesian inference of condition-specific miRNA and transcription factor activities from combined gene and microRNA expression data B Zacher, K Abnaof, S Gade, E Younesi, A Tresch, H Fröhlich Bioinformatics 28 (13), 1714-1720, 2012 | 45 | 2012 |
| Measurement of genome-wide RNA synthesis and decay rates with Dynamic Transcriptome Analysis (DTA) B Schwalb, D Schulz, M Sun, B Zacher, S Dümcke, DE Martin, P Cramer, ... Bioinformatics 28 (6), 884-885, 2012 | 42 | 2012 |
| Annotation of genomics data using bidirectional hidden Markov models unveils variations in Pol II transcription cycle B Zacher, M Lidschreiber, P Cramer, J Gagneur, A Tresch Molecular systems biology 10 (12), 768, 2014 | 31 | 2014 |
| Analysis of Affymetrix ChIP-chip data using starr and R/Bioconductor B Zacher, P Torkler, A Tresch Cold Spring Harbor Protocols 2011 (5), pdb. top110, 2011 | 10 | 2011 |
| Supervised learning using routine surveillance data improves outbreak detection of Salmonella and Campylobacter infections in Germany B Zacher, I Czogiel Plos one 17 (5), e0267510, 2022 | 7 | 2022 |
| From prevalence to incidence-a new approach in the hospital setting N Willrich, S Haller, T Eckmanns, B Zacher, T Kärki, D Plachouras, ... bioRxiv, 554725, 2019 | 4 | 2019 |
| Supervised learning improves disease outbreak detection B Zacher, I Czogiel arXiv preprint arXiv:1902.10061, 2019 | 4 | 2019 |
| Simultaneous characterization of sense and antisense genomic processes by the double-stranded hidden Markov model J Glas, S Dümcke, B Zacher, D Poron, J Gagneur, A Tresch Nucleic Acids Research 44 (5), e44-e44, 2016 | 4 | 2016 |
Achim TreschInsitute for Medical Statistics and Computational Biology, CologneVerified email at uni-koeln.de