Georgios K. Georgakilas

The paper introduces pre-miRBench, a multispecies benchmark for pre-miRNA prediction, showing its model outperforms existing predictors in cross-species and cross-family tests.

bMINTY provides a structured, portable framework for managing post-alignment sequencing data and metadata to enhance reproducibility and reuse of scientific findings.

This study identifies 176 gene-tissue associations in atopic dermatitis using transcriptome-wide association analysis, highlighting novel genes involved in allergic reactions, skin barrier integrity, and inflammation.

The paper identifies a new bias in miRNA functional enrichment analysis and proposes a modified test and tool to address it.

MuStARD is a deep learning framework that identifies functional genomic elements across species by integrating sequence, structure, and conservation patterns.

ADAPT-CAGE improves TSS identification from CAGE data using machine learning, outperforming existing methods and enabling accurate genome-wide annotation.

PRISM quantifies single-cell chromatin accessibility variation, outperforming existing methods by accounting for technical biases and revealing masked heterogeneity.