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. Thomas Lingner

CEO

Dr Thomas Lingner

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 Lingner
Dr.Thomas LingnerCo-founder / CSO

Prof. Dr. Stefan Bonn

Co-founder / Advisory Board

Dr Thomas Lingner

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



Dr. Thomas Lingner
Prof. Dr. Stefan BonnCo-founder / Advisory Board

Dr. Herbert Stadler

Co-founder / Advisory Board

Dr Thomas Lingner

Herbert is a neuroscientist and successful biotech entrepreneur.





Dr. Herbert Stadler
Dr. Herbert StadlerCo-founder / Advisory Board
Publications

Title: Oasis 2: improved online analysis of small RNA-seq data
Authors: Rahman RU, Gautam A, Bethune J, Sattar A, Fiosins M, Magruder DS, Capece V, Shomroni O, Bonn S.
DOI: https://doi.org/10.1186/s12859-018-2047-z
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Title: The landscape of human mutually exclusive splicing
Authors: Hatje K, Rahman RU, Vidal RO, Simm D, Hammesfahr B, Bansal V, Rajput A, Mickael ME, Sun T, Bonn S, Kollmar M
DOI: https://doi.org/10.15252/msb.20177728
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Title: Critical Assessment of Metagenome Interpretation-a benchmark of metagenomics software
Authors: Sczyrba A, Hofmann P, Belmann P, et al.
DOI: https://doi.org/10.1038/nmeth.4458
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