Our research focuses on the development and application of innovative algorithms for the analysis of biomedical data, particularly in the areas of sequence analysis and data visualization. A central emphasis is on Chaos Game Representation (CGR), a method that enables the visualization of biological sequences. This technique is particularly used for the comparative analysis of DNA and protein sequences and allows for the precise extraction of features essential for machine learning and a deep understanding of biological data.

We investigate how CGR and related approaches can enhance bioinformatic analysis by converting sequences into two-dimensional images or matrices. This facilitates pattern recognition and enables deeper analysis of sequential data without the use of traditional alignments. Our research includes applications in phylogeny, protein sequence classification, the development of new analysis methods for omics data, and the optimization of machine learning techniques using CGR-generated data. Additionally, we explore the application of CGR for the development of algorithms for the storage and processing of data in DNA.
 

Head of the working group
Dr. rer. nat. Hannah Franziska Löchel