Jan Grau
Jan Grau
Wissenschaftlicher Mitarbeiter, Bioinformatik, Martin Luther University Halle-Wittenberg
Verified email at - Homepage
Cited by
Cited by
Critical assessment of automated flow cytometry data analysis techniques
N Aghaeepour, G Finak, H Hoos, TR Mosmann, R Brinkman, R Gottardo, ...
Nature Methods, 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
Evaluation of methods for modeling transcription factor sequence specificity
MT Weirauch, A Cote, R Norel, M Annala, Y Zhao, TR Riley, ...
Nature Biotechnology, 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
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
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
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
Area under Precision-Recall Curves for Weighted and Unweighted Data
J Keilwagen, I Grosse, J Grau
PLOS ONE 9 (3), e92209, 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
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
TALENoffer: genome-wide TALEN off-target prediction
J Grau, J Boch, S Posch
Bioinformatics 29 (22), 2931-2932, 2013
Accurate prediction of cell type-specific transcription factor binding
J Keilwagen, S Posch, J Grau
Genome Biology 20 (1), 9, 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
Varying levels of complexity in transcription factor binding motifs
J Keilwagen, J Grau
Nucleic acids research 43 (18), e119-e119, 2015
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
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
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
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
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
Insights gained from a comprehensive all-against-all transcription factor binding motif benchmarking study
G Ambrosini, I Vorontsov, D Penzar, R Groux, O Fornes, DD Nikolaeva, ...
Genome Biology 21 (1), 1-18, 2020
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