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Works (14)

Advancing Anticancer Drug Discovery: Leveraging Metabolomics and Machine Learning for Mode of Action Prediction by Pattern Recognition

Advanced Science
2024-12 | Journal article
DOI: 10.1002/advs.202404085
Contributors: Mohamad Saoud; Jan Grau; Robert Rennert; Thomas Mueller; Mohammad Yousefi; Mehdi D. Davari; Bettina Hause; René Csuk; Luay Rashan; Ivo Grosse et al.
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Antisense transcription is associated with expression of metal resistance determinants in Cupriavidus metallidurans CH34

Metallomics
2024-12-02 | Journal article
DOI: 10.1093/mtomcs/mfae057
Contributors: Cornelia Große; Jan Grau; Martin Herzberg; Dietrich H Nies
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Time-resolved RNA-seq data reveal dynamic expressional behaviour of TALE target genes

2024-05-28 | Preprint
DOI: 10.1101/2024.05.28.596194
Contributors: Jan Grau; René Grove; Annett Erkes; Neele Unger; Marcel Göricke; Jens Boch
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Machine Learning-Based Metabolic Pattern Recognition Predicts Mode of Action for Anti-Cancer Drug Candidates

2024-01-26 | Preprint
DOI: 10.21203/rs.3.rs-3494185/v1
Contributors: Gerd Balcke; Mohamad Saoud; Jan Grau; Robert Rennert; Thomas Mueller; Mohammad Yousefi; Mehdi D. Davari; Bettina Hause; Rene Csuk; Luay Rashan et al.
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Widespread effects of DNA methylation and intra-motif dependencies revealed by novel transcription factor binding models

Nucleic Acids Research
2023-10-13 | Journal article
DOI: 10.1093/nar/gkad693
Contributors: Jan Grau; Florian Schmidt; Marcel H Schulz
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Flexible TALEs for an expanded use in gene activation, virulence and scaffold engineering

Nucleic Acids Research
2022-02-28 | Journal article
DOI: 10.1093/nar/gkac098
Contributors: Sebastian Becker; Stefanie Mücke; Jan Grau; Jens Boch
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Epigenetic features improve TALE target prediction

2021-06-14 | Preprint
DOI: 10.1101/2021.06.14.448323
Contributors: Annett Erkes; Stefanie Mücke; Maik Reschke; Jens Boch; Jan Grau
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Widespread effects of DNA methylation and intra-motif dependencies revealed by novel transcription factor binding models

2020-10-21 | Preprint
DOI: 10.1101/2020.10.21.348193
Contributors: Jan Grau; Florian Schmidt; Marcel H. Schulz
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DepLogo: visualizing sequence dependencies in R

Bioinformatics
2019-11-01 | Journal article
DOI: 10.1093/bioinformatics/btz507
Contributors: Jan Grau; Martin Nettling; Jens Keilwagen; John Hancock
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PrediTALE: A novel model learned from quantitative data allows for new perspectives on TALE targeting

PLOS Computational Biology
2019-07-11 | Journal article
DOI: 10.1371/journal.pcbi.1007206
Contributors: Annett Erkes; Ilya Ioshikhes; Stefanie Mücke; Maik Reschke; Jens Boch; Jan Grau
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Allele specific chromatin signals, 3D interactions, and motif predictions for immune and B cell related diseases

Scientific Reports
2019-02-25 | Journal article
DOI: 10.1038/s41598-019-39633-0
Contributors: Marco Cavalli; Nicholas Baltzer; Husen M. Umer; Jan Grau; Ioana Lemnian; Gang Pan; Ola Wallerman; Rapolas Spalinskas; Pelin Sahlén; Ivo Grosse et al.
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Combining RNA-seq data and homology-based gene prediction for plants, animals and fungi

BMC Bioinformatics
2018-12 | Journal article
DOI: 10.1186/s12859-018-2203-5
Contributors: Jens Keilwagen; Frank Hartung; Michael Paulini; Sven O. Twardziok; Jan Grau
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Motif clustering with implications for transcription factor interactions

2015-08-13 | Preprint
DOI: 10.7287/peerj.preprints.1302
Contributors: Jan Grau; Ivo Grosse; Stefan Posch; Jens Keilwagen
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Motif clustering with implications for transcription factor interactions

2015-08-13 | Preprint
DOI: 10.7287/peerj.preprints.1302v1
Contributors: Jan Grau; Ivo Grosse; Stefan Posch; Jens Keilwagen
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Peer review (6 reviews for 3 publications/grants)

Review activity for F1000Research. (1)
Review activity for Genome biology. (4)
Review activity for PLoS computational biology. (1)
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