Bioinformatics Lab - Department of Computer Science - University Freiburg

Visual annotation of RNA-RNA interactions

Visualize any RNA-RNA interaction

model to design cell penetrating proteins

provides a baseline metabolomic classifier for FI-TWIM-MS and PSI-MS datasets based on the TabPFN framework, together with baselnie methods

Plant regeneration is a highly orchestrated process characterised by dynamic cellular reprogramming and lineage plasticity. This study presents an integrative deep generative framework to identify and characterise regenerative cell states from scRNA-seq data collected across five post-injury time points

Efficient target prediction incorporating accessibility of interaction sites

ML in Life Science resources - hands-on lectures, hands-on exercise solutions