Violeta Muñoz‐Fuentes

The paper introduces uPheno, a framework for cross-species phenomics integration by harmonizing phenotype data across species and ontologies.

The paper introduces an operational framework for national-level spatial planning to achieve biodiversity, climate, and sustainable development goals through stakeholder collaboration and data integration.

The paper introduces a consensus score method to combine statistical results from multiple resources and applies it to detect sexual dimorphism in haematological data from the IMPC.

The paper identifies novel Mendelian genes by analyzing mouse embryo lethality and linking them to human disease phenotypes and genetic variants.

The paper reports the generation of over 5,000 new mouse mutant strains for targeted genes, significantly expanding the available genetic resources for biomedical research.

The paper integrates gene essentiality data from human and mouse screens to classify genes into FUSIL categories, identifying developmental lethal genes associated with rare diseases.

The paper introduces a method called soft windowing to improve analysis of high-throughput phenotyping data by reducing false positives and increasing significant results.