Area of research
Molecular Biology
Research interest
Research interests include Genomics and Chromatin Dynamics, RNA modifications and cancer, Epigenetics and DNA Methylation, and RNA Research and Splicing.
Decoding heart failure subtypes with neural networks via differential explanation analysis
Cystine import and oxidative catabolism fuel vascular growth and repair via nutrient-responsive histone acetylation
Pipeline Olympics: continuable benchmarking of computational workflows for DNA methylation sequencing data against an experimental gold standard
The endothelial-enriched lncRNA LINC00607 mediates angiogenic function
Multimodal analysis methods in predictive biomedicine
TF-Prioritizer: a Java pipeline to prioritize condition-specific transcription factors
Interaction of inherited genetic variants in the NLRP3 inflammasome/IL-6 pathway with acquired clonal hematopoiesis to modulate mortality risk in patients with HFrEF
HIF1α-AS1 is a DNA:DNA:RNA triplex-forming lncRNA interacting with the HUSH complex
TF-Prioritizer: a Java pipeline to prioritize condition-specific transcription factors
Single cell sequencing reveals endothelial plasticity with transient mesenchymal activation after myocardial infarction
Dysregulation of cholesterol homeostasis in human lung cancer tissue and tumour-associated macrophages
HIF1α-AS1 is a DNA:DNA:RNA triplex-forming lncRNA interacting with the HUSH complex
SRSF7 maintains its homeostasis through the expression of Split-ORFs and nuclear body assembly
Identification of transcription factor binding sites using ATAC-seq
The lncRNA Locus Handsdown Regulates Cardiac Gene Programs and Is Essential for Early Mouse Development
Analysis of Cell Type-Specific Effects of MicroRNA-92a Provides Novel Insights Into Target Regulation and Mechanism of Action
Integrative analysis of single-cell expression data reveals distinct regulatory states in bidirectional promoters
Integrative analysis of single cell expression data reveals distinct regulatory states in bidirectional promoters
Integrative analysis of single-cell expression data reveals distinct regulatory states in bidirectional promoters
Epigenomic Profiling of Human CD4+ T Cells Supports a Linear Differentiation Model and Highlights Molecular Regulators of Memory Development
Combining transcription factor binding affinities with open-chromatin data for accurate gene expression prediction
Combining transcription factor binding affinities with open-chromatin data for accurate gene expression prediction
Reconstructing dynamic microRNA-regulated interaction networks
DREM 2.0: Improved reconstruction of dynamic regulatory networks from time-series expression data