Denis Bienroth
Denis Bienroth
Denis Bienroth is a Software Engineer in the Transcriptomics and Bioinformatics Group led by Prof. Mirana Ramialison at the Murdoch Children’s Research Institute in Melbourne. He holds a Master of Science degree in Electrical and Software Engineering from the Technical University of Kaiserslautern, Germany.
With a strong foundation in engineering and computational biology, Denis focuses on developing innovative software solutions for the analysis and visualisation of multi-omics data. His work bridges advanced data science with cutting-edge biological research, enabling researchers to better interpret complex datasets and uncover new biological insights.
With a strong foundation in engineering and computational biology, Denis focuses on developing innovative software solutions for the analysis and visualisation of multi-omics data. His work bridges advanced data science with cutting-edge biological research, enabling researchers to better interpret complex datasets and uncover new biological insights.
Denis Bienroth is a Software Engineer in the Transcriptomics and Bioinformatics Group led by Prof. Mirana Ramialison at the Murdoch Children’s Research Institute in Melbourne. He holds a Master of Science degree in Electrical and Software...
Denis Bienroth is a Software Engineer in the Transcriptomics and Bioinformatics Group led by Prof. Mirana Ramialison at the Murdoch Children’s Research Institute in Melbourne. He holds a Master of Science degree in Electrical and Software Engineering from the Technical University of Kaiserslautern, Germany.
With a strong foundation in engineering and computational biology, Denis focuses on developing innovative software solutions for the analysis and visualisation of multi-omics data. His work bridges advanced data science with cutting-edge biological research, enabling researchers to better interpret complex datasets and uncover new biological insights.
With a strong foundation in engineering and computational biology, Denis focuses on developing innovative software solutions for the analysis and visualisation of multi-omics data. His work bridges advanced data science with cutting-edge biological research, enabling researchers to better interpret complex datasets and uncover new biological insights.
Top Publications
- Maqbool, N, Ramialison, M, Bienroth, D. Spatially Resolved Transcriptomics Mining in 3D and Virtual Reality Environments with VR Omics. 2026 view publication
- Bienroth, D, Charitakis, N, Wong, D, Jaeger-Honz, S, Garkov, D, Watt, KI, Stolper, J, Chambers-Smith, H, MacGregor, D, Christiansen, B, et al. Automated Integration of Multi-Slice Spatial Transcriptomics Data in 2D and 3D. 2023 view publication
- Xin, Z, Cai, Y, Dang, LT, Burke, HMS, Revote, J, Charitakis, N, Bienroth, D, Nim, HT, Li, Y-F, Ramialison, M. MonaGO: a novel gene ontology enrichment analysis visualisation system.. BMC Bioinformatics 23(1) : 69 2022 view publication
- Mohenska, M, Tan, NM, Tokolyi, A, Furtado, MB, Costa, MW, Perry, AJ, Hatwell-Humble, J, van Duijvenboden, K, Nim, HT, Ji, YMM, et al. 3D-cardiomics: A spatial transcriptional atlas of the mammalian heart.. J Mol Cell Cardiol 163: 20 -32 2022 view publication
- Bienroth, D, Nim, HT, Garkov, D, Klein, K, Jaeger-Honz, S, Ramialison, M, Schreiber, F. Spatially resolved transcriptomics in immersive environments.. Vis Comput Ind Biomed Art 5(1) : 2 2022 view publication
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