Critical assessment of automated flow cytometry data analysis techniques N Aghaeepour, G Finak, H Hoos, TR Mosmann, R Brinkman, R Gottardo, ... Nature Methods, 2013 | 652 | 2013 |
Using intron position conservation for homology-based gene prediction J Keilwagen, M Wenk, JL Erickson, MH Schattat, J Grau, F Hartung Nucleic acids research 44 (9), e89-e89, 2016 | 458 | 2016 |
Evaluation of methods for modeling transcription factor sequence specificity MT Weirauch, A Cote, R Norel, M Annala, Y Zhao, TR Riley, ... Nature Biotechnology, 2013 | 399 | 2013 |
PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in R J Grau, I Grosse, J Keilwagen Bioinformatics 31 (15), 2595-2597, 2015 | 336 | 2015 |
Identification of transcription factor binding sites with variable-order Bayesian networks I Ben-Gal, A Shani, A Gohr, J Grau, S Arviv, A Shmilovici, S Posch, ... Bioinformatics 21 (11), 2657-2666, 2005 | 237 | 2005 |
Combining RNA-seq data and homology-based gene prediction for plants, animals and fungi J Keilwagen, F Hartung, M Paulini, SO Twardziok, J Grau BMC Bioinformatics 19 (1), 189, 2018 | 207 | 2018 |
GeMoMa: Homology-Based Gene Prediction Utilizing Intron Position Conservation and RNA-seq Data. J Keilwagen, F Hartung, J Grau Methods in molecular biology (Clifton, NJ) 1962, 161-177, 2019 | 200 | 2019 |
Area under Precision-Recall Curves for Weighted and Unweighted Data J Keilwagen, I Grosse, J Grau PLOS ONE 9 (3), e92209, 2014 | 194 | 2014 |
Recognition of AvrBs3-like proteins is mediated by specific binding to promoters of matching pepper Bs3 alleles P Römer, T Strauss, S Hahn, H Scholze, R Morbitzer, J Grau, U Bonas, ... Plant physiology 150 (4), 1697-1712, 2009 | 142 | 2009 |
TALENoffer: genome-wide TALEN off-target prediction J Grau, J Boch, S Posch Bioinformatics 29 (22), 2931-2932, 2013 | 119 | 2013 |
Computational Predictions Provide Insights into the Biology of TAL Effector Target Sites J Grau, A Wolf, M Reschke, U Bonas, S Posch, J Boch PLOS Computational Biology 9 (3), e1002962, 2013 | 116 | 2013 |
Accurate prediction of cell type-specific transcription factor binding J Keilwagen, S Posch, J Grau Genome Biology 20 (1), 9, 2019 | 106 | 2019 |
AnnoTALE: bioinformatics tools for identification, annotation, and nomenclature of TALEs from Xanthomonas genomic sequences J Grau, M Reschke, A Erkes, J Streubel, RD Morgan, GG Wilson, ... Scientific Reports 6, 21077, 2016 | 99 | 2016 |
Varying levels of complexity in transcription factor binding motifs J Keilwagen, J Grau Nucleic acids research 43 (18), e119-e119, 2015 | 76 | 2015 |
De-novo discovery of differentially abundant transcription factor binding sites including their positional preference J Keilwagen, J Grau, IA Paponov, S Posch, M Strickert, I Grosse PLoS Computational Biology 7 (2), e1001070, 2011 | 68 | 2011 |
DiffLogo: a comparative visualization of sequence motifs M Nettling, H Treutler, J Grau, J Keilwagen, S Posch, I Grosse BMC bioinformatics 16 (1), 387, 2015 | 66 | 2015 |
A TAL effector repeat architecture for frameshift binding A Richter, J Streubel, C Blücher, B Szurek, M Reschke, J Grau, J Boch Nature communications 5, 3447, 2014 | 58 | 2014 |
A general approach for discriminative de novo motif discovery from high-throughput data J Grau, S Posch, I Grosse, J Keilwagen Nucleic acids research 41 (21), e197-e197, 2013 | 56 | 2013 |
Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences J Grau, J Keilwagen, A Gohr, B Haldemann, S Posch, I Grosse The Journal of Machine Learning Research 98888, 1967-1971, 2012 | 55 | 2012 |
Evolution of transcription activator-like effectors in Xanthomonas oryzae A Erkes, M Reschke, J Boch, J Grau Genome Biology and Evolution, 2017 | 48 | 2017 |