About Us

Genevention is a bioinformatics company that brings together long-standing experience in semantic integration of biomedical big data, cutting-edge deep data analyses and sharp visualizations for interactive data exploration. Our aim is to combine these technologies to allow biomedical researchers, pharmaceutical engineers and bioinformaticians to discover disease-specific biomarkers, reveal novel correlations in datasets across different experiment types and easily enrich experimental data with information from the literature and external databases. Our services include the custom-tailored development of semantic data integration systems, the provision of expert-curated biomarker knowledge bases based on high-throughput-omics data and the investigation of biomedical big data using artificial intelligence approaches.

Dr. Inge Sillaber

CEO

Inge is a neurobiologist with many years of management experience in biotech industry. She has a comprehensive background in preclinical and clinical drug development.

Dr. Inge SillaberCEO

Dr.Thomas Lingner

Co-founder/CSO

Thomas is a data scientist with a strong background in computational biology. His expertise covers data mining & machine learning, high-throughput sequence analysis and metagenomics.

Dr.Thomas LingnerCo-founder / CSO

Prof. Dr. Stefan Bonn

Co-founder / Advisory Board

Stefan is a biochemist and computational biologist with a strong background in deep learning and data analysis.

Prof. Dr. Stefan BonnCo-founder / Advisory Board

Dr. Herbert Stadler

Co-founder / Advisory Board

Herbert is a neuroscientist and successful biotech entrepreneur.

Dr. Herbert StadlerCo-founder / Advisory Board

Realistic in silico generation and augmentation of single cell RNA-seq data using Generative Adversarial Neural Networks.
Mohamed Marouf, Pierre Machart, Daniel Sumner Sumner Magruder, Vikas Bansal, Christoph Kilian, Christian F. Krebs, Stefan Bonn
doi: https://doi.org/10.1101/390153 (PDF)

Retinoic acid-induced expression of Hnf1b and Fzd4 is required for pancreas development in Xenopus laevis.
Gere-Becker MB, Pommerenke C, Lingner T, Pieler T.
Development. 2018 Jun 8;145(12). pii: dev161372. doi: 10.1242/dev.161372.

Critical Assessment of Metagenome Interpretation-a benchmark of metagenomics software.
Sczyrba A, Hofmann P, Belmann P, et al.
Nat Methods. 2017;14(11):1063-1071. (PDF)

Neurons under T Cell Attack Coordinate Phagocyte-Mediated Synaptic Stripping.
Di Liberto G, Pantelyushin S, Kreutzfeldt M, Page N, Musardo S, Coras R, Steinbach K, Vincenti I, Klimek B, Lingner T, Salinas G, Lin-Marq N, Staszewski O, Costa Jordão MJ, Wagner I, Egervari K, Mack M, Bellone C, Blümcke I, Prinz M, Pinschewer DD, Merkler D.
Cell. 2018 Oct 4;175(2):458-471.e19. doi: 10.1016/j.cell.2018.07.049. Epub 2018 Aug 30.

SEA: The Small RNA Expression Atlas
Raza-Ur Rahman, Abdul Sattar, Maksims Fiosins, Abhivyakti Gautam, Daniel Sumner Magruder, Joern Bethune, Sumit Madan, Juliane Fluck, Stefan Bonn
doi: https://doi.org/10.1101/133199. (PDF)

Oasis 2: improved online analysis of small RNA-seq data.
Rahman RU, Gautam A, Bethune J, Sattar A, Fiosins M, Magruder DS, Capece V, Shomroni O, Bonn S.
BMC Bioinformatics. 2018 Feb 14;19(1):54. doi: 10.1186/s12859-018-2047-z. (PDF)

mRNA quality control is bypassed for immediate export of stress-responsive transcripts.
Zander G, Hackmann A, Bender L, Becker D, Lingner T, Salinas G, Krebber H.
Nature. 2016 Dec 12. doi: 10.1038/nature20572.

The landscape of human mutually exclusive splicing.
Hatje K, Rahman RU, Vidal RO, Simm D, Hammesfahr B, Bansal V, Rajput A, Mickael ME, Sun T, Bonn S, Kollmar M.
Mol Syst Biol. 2017 Dec 14;13(12):959. doi: 10.15252/msb.20177728. (PDF)

Identification of New Fungal Peroxisomal Matrix Proteins and Revision of the PTS1 Consensus.
Nötzel C, Lingner T, Klingenberg H, Thoms S.
Traffic. 2016 Oct;17(10):1110-24. doi: 10.1111/tra.12426. Epub 2016 Aug 22.

The transcriptomes of novel marmoset monkey embryonic stem cell lines reflect distinct genomic features.
Debowski K, Drummer C, Lentes J, Cors M, Dressel R, Lingner T, Salinas-Riester G, Fuchs S, Sasaki E, Behr R.
Sci Rep. 2016 Jul 7;6:29122. doi: 10.1038/srep29122. (PDF)

Characterization, prediction and evolution of plant peroxisomal targeting signals type 1 (PTS1s).
Reumann S, Chowdhary G, Lingner T.
Biochim Biophys Acta. 2016 May;1863(5):790-803. doi: 10.1016/j.bbamcr.2016.01.001. Epub 2016 Jan 6.

SMRT sequencing of the Campylobacter coli BfR-CA-9557 genome sequence reveals unique methylation motifs.
Zautner AE, Goldschmidt AM, Thürmer A, Schuldes J, Bader O, Lugert R, Groß U, Stingl K, Salinas G, Lingner T.
BMC Genomics. 2015 Dec 21;16:1088. doi: 10.1186/s12864-015-2317-3. (PDF)

Peroxisomal lactate dehydrogenase is generated by translational readthrough in mammals.
Schueren F, Lingner T, George R, Hofhuis J, Dickel C, Gärtner J, Thomas S.
Elife. 2014 Sep 23;3:e03640. doi: 10.7554/eLife.03640. (PDF)

Experimental and statistical post-validation of positive example EST sequences carrying peroxisome targeting signals type 1 (PTS1).
Lingner T, Kataya AR, Reumann S.
Plant Signal Behav. 2012 Feb;7(2):263-8. doi: 10.4161/psb.18720. Epub 2012 Feb 1. (PDF)

CoMet--a web server for comparative functional profiling of metagenomes.
Lingner T, Asshauer KP, Schreiber F, Meinicke P.
Nucleic Acids Res. 2011 Jul;39(Web Server issue):W518-23. doi: 10.1093/nar/gkr388. Epub 2011 May 26. (PDF)

Mixture models for analysis of the taxonomic composition of metagenomes.
Meinicke P, Asshauer KP, Lingner T.
Bioinformatics. 2011 Jun 15;27(12):1618-24. doi: 10.1093/bioinformatics/btr266. Epub 2011 May 5. (PDF)

Identification of novel plant peroxisomal targeting signals by a combination of machine learning methods and in vivo subcellular targeting analyses.
Lingner T, Kataya AR, Antonicelli GE, Benichou A, Nilssen K, Chen XY, Siemsen T, Morgenstern B, Meinicke P, Reumann S.
Plant Cell. 2011 Apr;23(4):1556-72. doi: 10.1105/tpc.111.084095. Epub 2011 Apr 12. (PDF)

Remote homology detection based on oligomer distances.
Lingner T, Meinicke P.
Bioinformatics. 2006 Sep 15;22(18):2224-31. Epub 2006 Jul 12.