Identification of transcription factor binding sites with variable-order Bayesian networks. - Irad E. Ben-Gal; Ayala Shani; André Gohr; Jan Grau; S. Arviv; Armin Shmilovici; Stefan Posch; Ivo Grosse (Bioinform., 2005)

VOMBAT: prediction of transcription factor binding sites using variable order Bayesian trees. - Jan Grau; Irad E. Ben-Gal; Stefan Posch; Ivo Grosse (Nucleic Acids Res., 2006)

Supervised Posteriors for DNA-motif Classification. - Jan Grau; Jens Keilwagen; Alexander E. Kel; Ivo Grosse; Stefan Posch (German Conference on Bioinformatics, 2007)

On the relevance of model orders to discriminative learning of Markov models. - Jan Grau; Jens Keilwagen; Ivo Grosse; Stefan Posch (LWA, 2007)

Recognition of splice sites using maximum conditional likelihood. - Jens Keilwagen; Jan Grau; Stefan Posch; Ivo Grosse (LWA, 2007)

Recognition of cis-Regulatory Elements with Vombat. - Stefan Posch; Jan Grau; André Gohr; Irad E. Ben-Gal; Alexander E. Kel; Ivo Grosse (J. Bioinform. Comput. Biol., 2007)

Predicting miRNA targets utilizing an Extended Profile HMM. - Jan Grau; Daniel Arend; Ivo Grosse; Artemis G. Hatzigeorgiou; Jens Keilwagen; Manolis Maragkakis; Claus Weinholdt; Stefan Posch (GCB, 2010)

Apples and oranges: avoiding different priors in Bayesian DNA sequence analysis. - Jens Keilwagen; Jan Grau; Stefan Posch; Ivo Grosse (BMC Bioinform., 2010)

Unifying generative and discriminative learning principles. - Jens Keilwagen; Jan Grau; Stefan Posch; Marc Strickert; Ivo Grosse (BMC Bioinform., 2010)

Discriminative Bayesian principles for predicting sequence signals of gene regulation - Jan Grau (2010)

De-Novo Discovery of Differentially Abundant Transcription Factor Binding Sites Including Their Positional Preference. - Jens Keilwagen; Jan Grau; Ivan A. Paponov; Stefan Posch; Marc Strickert; Ivo Grosse (PLoS Comput. Biol., 2011)

Jstacs: A Java Framework for Statistical Analysis and Classification of Biological Sequences. - Jan Grau; Jens Keilwagen; André Gohr; Berit Haldemann; Stefan Posch; Ivo Grosse (J. Mach. Learn. Res., 2012)

TALENoffer: genome-wide TALEN off-target prediction. - Jan Grau; Jens Boch; Stefan Posch (Bioinform., 2013)

Dispom: a Discriminative de-novo Motif Discovery Tool Based on the Jstacs Library. - Jan Grau; Jens Keilwagen; André Gohr; Ivan A. Paponov; Stefan Posch; Michael Seifert; Marc Strickert; Ivo Grosse (J. Bioinform. Comput. Biol., 2013)

Computational Predictions Provide Insights into the Biology of TAL Effector Target Sites. - Jan Grau; Annett Wolf; Maik Reschke; Ulla Bonas; Stefan Posch; Jens Boch (PLoS Comput. Biol., 2013)

A general approach for discriminative de novo motif discovery from high-throughput data. - Jan Grau; Stefan Posch; Ivo Grosse; Jens Keilwagen (GCB, 2014)

PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in R. - Jan Grau; Ivo Grosse; Jens Keilwagen (Bioinform., 2015)

DiffLogo: a comparative visualization of sequence motifs. - Martin Nettling; Hendrik Treutler; Jan Grau; Jens Keilwagen; Stefan Posch; Ivo Grosse (BMC Bioinform., 2015)

InMoDe: tools for learning and visualizing intra-motif dependencies of DNA binding sites. - Ralf Eggeling; Ivo Grosse; Jan Grau (Bioinform., 2017)

Combining RNA-seq data and homology-based gene prediction for plants, animals and fungi. - Jens Keilwagen; Frank Hartung; Michael Paulini; Sven Twardziok; Jan Grau (BMC Bioinform., 2018)

DepLogo: visualizing sequence dependencies in R. - Jan Grau; Martin Nettling; Jens Keilwagen (Bioinform., 2019)

PrediTALE: A novel model learned from quantitative data allows for new perspectives on TALE targeting. - Annett Erkes; Stefanie Mücke; Maik Reschke; Jens Boch; Jan Grau (PLoS Comput. Biol., 2019)

Gaze-based Opportunistic Privacy-preserving Human-Agent Collaboration. - Jan Grau; Simon Mayer; Jannis Strecker; Kimberly García; Kenan Bektas (CHI Extended Abstracts, 2024)

SAKE: A Semantic Authoring and Annotation Tool for Knowledge Extraction. - Jan Grau; Kimberly García; Simon Mayer (SEMANTiCS (Posters, Demos, Workshops & Tutorials), 2024)