
About
Dr. Markus Wolfien is a Researcher in Systems Biology and Bioinformatics at the University of Rostock's Faculty of Computer Science and Electrical Engineering. His research develops computational workflows for analyzing biological data, particularly RNA-Seq datasets.
Research focuses on integrating omics data through customizable analysis pipelines using tools like Galaxy, Conda, and Docker. Key applications include:
- Stem cell research and cardiac regeneration
- Machine learning for biomedical data
- Workflow optimization for NGS data
- Epigenomic analysis in cancer
Recent publications demonstrate cross-disciplinary approaches combining bioinformatics, machine learning, and systems biology. Current projects include developing deep learning methods for sequencing data and creating accessible tools for cancer genomics research.
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