Our group focuses on developing innovative bioinformatic methods to tackle complex biological problems. By combining computer science and biology, we work at the interface of two disciplines to generate new insights and lay the groundwork for future medical applications.
The identification of proteins in biological samples is essential for the understanding of cell processes and research on diseases. Therefore, our research group strives for the development of algorithms to advance protein identification from mass spectrometry data.
In the research area Health Data, we focus on the development and application of data science and engineering systems dedicated to the improvement of the health of humans as well as animals.
In the research area Genomics we analyze various data like immune repertoire, mutations, gene expression, and signaling pathways to understand disease development. Our goal is to create tools for better treatments.
Numerous research questions in biology as well as in medicine can only be solved by analyzing images. Since the foundation of our research group, members of BIN have been developing and implementing algorithms for the analysis of tissues, cells, and molecules on the basis of microscopy images and videos.