Joana Carlevaro-Fita

The paper introduces a network-based clustering method to identify distinct learner profiles from training-needs surveys, revealing heterogeneous bioinformatics training needs in the AI era.

This study shows that maternal and postnatal microbiota influence intestinal epithelial maturation and barrier formation through epigenetic and transcriptional mechanisms in offspring.

This study identifies evolutionarily recent transcription factors that influence human cell cycle regulation by affecting gene expression and replication timing.

The paper develops a machine learning framework to estimate cell subtype-specific drug sensitivity from bulk data, applying it to leukemia datasets to identify potential therapeutic targets.

The paper introduces the Cancer LncRNA Census (CLC), a curated resource of lncRNAs with causative roles in cancer, and shows their genomic and evolutionary features.

ActivePathways integrates multivariate omics data to identify enriched pathways, revealing cancer driver genes and prognostic pathways in breast cancer.

The paper identifies TE fragments associated with lncRNA nuclear enrichment and shows their role in subcellular localization.

The paper identifies and characterizes coding and non-coding driver mutations across 2,500 cancer genomes, revealing new candidates and questioning previous findings.

LncATLAS provides a database of lncRNA subcellular localization in human cells using RNA-seq data, offering tools to query and compare localization across cell types and organelles.

The paper identifies 15 high-confidence cancer driver lncRNAs across 1112 tumour genomes using a mutational pattern analysis approach.