Bioinformatics & Computational Biology

Bioinformatics is a powerful tool that allows us to simultaneously analyse large numbers of genes, proteins, or cells. Using computational biology approaches including artificial intelligence, we can decode molecular mechanisms of gene regulation, chromatin organisation, and DNA repair, or screen for mutations in patients on a genome-wide scale. Our scientists use computational biology to identify changes in gene regulation between diseased and normal cells to make predictions about the mechanisms underlying disease.

Keywords: Artificial intelligence, machine learning, programming, computer vision, modelling

Key techniques used: Bioinformatics analysis, neural networks, deep learning, mathematical modelling, next-generation sequencing (DNA and RNA-seq), mass spectrometry, high-throughput microscopy, random mutagenesis screening

IPP Groups in Bioinformatics & Computational Biology:

Julian König

Genomic views of protein-RNA interactions and splicing regulation

Katja Luck

Integrative Systems Biology

Lukas Stelzl

Molecular principles that regulate gene expression by liquid-liquid phase separation

Susanne Gerber

Bioinformatics & computational systems genetics

Thomas Hankeln

Globins in the nucleus