Jan Grau

According to our database, Jan Grau authored at least 21 papers between 2005 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

DepLogo: visualizing sequence dependencies in R.

Jan Grau, Martin Nettling, Jens Keilwagen

Bioinform., 2019

2018

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

2017

InMoDe: tools for learning and visualizing intra-motif dependencies of DNA binding sites.

Ralf Eggeling, Ivo Grosse, Jan Grau

Bioinform., 2017

2015

DiffLogo: a comparative visualization of sequence motifs.

Martin Nettling, Hendrik Treutler, Jan Grau, Jens Keilwagen, Stefan Posch, Ivo Grosse

BMC Bioinform., 2015

PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in R.

Jan Grau, Ivo Grosse, Jens Keilwagen

Bioinform., 2015

2014

A general approach for discriminative de novo motif discovery from high-throughput data.

Jan Grau, Stefan Posch, Ivo Grosse, Jens Keilwagen

Proceedings of the German conference on bioinformatics 2014, September 28, 2014

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

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

TALENoffer: genome-wide TALEN off-target prediction.

Jan Grau, Jens Boch, Stefan Posch

Bioinform., 2013

2012

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

2011

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

2010

Unifying generative and discriminative learning principles.

Jens Keilwagen, Jan Grau, Stefan Posch, Marc Strickert, Ivo Grosse

BMC Bioinform., 2010

Apples and oranges: avoiding different priors in Bayesian DNA sequence analysis.

Jens Keilwagen, Jan Grau, Stefan Posch, Ivo Grosse

BMC Bioinform., 2010

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

Proceedings of the German Conference on Bioinformatics 2010, 2010

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

Recognition of splice sites using maximum conditional likelihood.

Jens Keilwagen, Jan Grau, Stefan Posch, Ivo Grosse

Proceedings of the LWA 2007: Lernen - Wissen, 2007

On the relevance of model orders to discriminative learning of Markov models.

Jan Grau, Jens Keilwagen, Ivo Grosse, Stefan Posch

Proceedings of the LWA 2007: Lernen - Wissen, 2007

Supervised Posteriors for DNA-motif Classification.

Jan Grau, Jens Keilwagen, Alexander E. Kel, Ivo Grosse, Stefan Posch

Proceedings of the German Conference on Bioinformatics, 2007

2006

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

2005

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