Nico Trummer

The paper identifies circular RNAs that change in response to anti-hormonal treatments in mouse models, suggesting potential as non-invasive biomarkers for therapeutic response.

This study highlights issues with circRNA detection in poly(A)-enriched RNA-seq data, showing it leads to false positives and recommends total RNA-seq with rRNA depletion for accurate profiling.

The paper introduces NeEDL, a network medicine-based method for detecting higher-order epistatic interactions in complex diseases, showing improved statistical significance and applicability across eight diseases.

The paper uses bulk RNA-seq to analyze immune responses to SARS-CoV-2 variants, showing that 10 million reads per sample can estimate immune cell composition and BCR/TCR sequences.

The paper introduces circRNA-sponging, a pipeline to analyze circRNA expression and miRNA sponging, identifying two types of circRNAs based on binding site ratios.

TF-Prioritizer identifies condition-specific transcription factors using multi-modal genomic data and generates an interactive web report.