Postdoctoral Fellow
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Research group -? |?RNA Biology and translational regulation
Main supervisor |?Eivind Valen
Co-supervisor |?-
Affiliation |?Department of Biosciences, UiO
Contact |?Carina Knappe
Short bio
I am a biologist with interdisciplinary expertise spanning molecular biology, microbiology, bioinformatics, and full-stack software development. Educated in biology and computer science in Kiel, Germany, I have worked in both wet-lab research and the development of database-driven scientific applications.
Research interests and hobbies
My research interests lie in understanding key regulatory processes in biology, with the overarching goal to contribute to building a comprehensive picture of how biological systems function as co-evolving, dynamic and well-tuned environments. In general, biological sciences often face the challenge of working with a vast and complex puzzle, moving top-down to uncover how all the pieces fit together and how systems are interconnected. In contrast, computer science can be seen as a bottom-up discipline: the individual components are well defined, and the possibilities of what can be built from them, such as technologies, models, and analytical frameworks, are still only partially explored, with much more potential to be realized in the future. By bridging these two perspectives, I aim to contribute to a deeper understanding of biological processes through innovative interdisciplinary approaches. Hobbies: solving jigsaw puzzles, having cozy board game afternoons, playing instruments, karaoke...
DSTrain project
Uncovering the rules of gene regulation through aggregation of large data
Within the DSTrain, and by joining the Valen-Lab, I am to investigate and further characterize non-canonical, previously undescribed proteins using a bioinformatic translatome-based proteogenomics approach.
The dark proteome represents a major blind spot in molecular biology and comprises proteins that remain unknown, unannotated, or non-canonical. Increasing evidence suggests that components of the dark proteome may contribute to diverse biological processes, including disease-related and regulatory mechanisms. The overarching aim of this project is to advance the exploration of the dark proteome and to make emerging insights broadly accessible to the research community.
Leveraging recently generated large-scale translatomics data and an interdisciplinary framework combining biology, bioinformatics, data science, and software development, the project will develop and apply computational strategies to identify and characterise previously unrecognised translated elements. Results will be integrated into an interactive web-based resource, enabling researchers to explore candidate proteins across different species, tissues, and conditions. Overall, the project seeks to provide a flexible foundation for future investigations and to support discovery across a wide range of biomedical research areas
Publications
DSTrain publications
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Previous publications
Please see https://orcid.org/0009-0005-3326-0110
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