Bioinformatics is an interdisciplinary field that combines biological questions with advanced methods from computer science and statistics

Analysis and interpretation

One of the central tasks of bioinformatics is the analysis and interpretation of complex biological data generated by modern technologies such as genome sequencing, proteomics, or single-cell RNA sequencing (scRNA-Seq). These technologies generate enormous amounts of data, the efficient processing and analysis of which often pose one of the greatest challenges.

A key component of bioinformatics is the development and application of algorithms for data cleaning, normalization, and integration. This data comes from various sources and often needs to be combined to obtain a complete picture of biological processes and enable statistical analysis.

Another important aspect is the visualization of results. By developing meaningful visualizations, such as heatmaps, PCA, and UMAP plots, researchers can quickly identify and interpret patterns in large datasets.

These visual representations are not only central to the analysis of omics and scRNA data, but also to the communication of research results within multidisciplinary teams and the broader scientific community.

Interactive visualizations offer a particularly valuable way to illustrate the multidimensional nature of biological data. Tools such as interactive heatmaps, 3D visualizations, or dynamic charts make it possible to examine data from different angles and display the effects of various parameters in real time. Through such interactive visualizations, researchers can delve deeper into the data, test hypotheses, and gain new insights more quickly, as they can flexibly access various aspects of the data and adjust the visualization as needed.

Felix Steinbeck, wissenschaftlicher Mitarbeiter (B.Sc.)
Institut für Immunologie
Schillingallee 70, 18057 Rostock
felix.steinbeck{bei}med.uni-rostock.de
0381 494 - 5891