Author

Miguel L. Grau

Institute for Research in BiomedicineORCID 0000-0002-5137-9976Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Assay:whole-exome sequencing· 2 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Research Focus:phylogenetics / evolution· 1

Frequent Co-Authors

Abel González-PéreziD· 1 shared Alexander S. MikheyeviD· 1 shared Alexandra LivanovaiD· 1 shared Andrea SottorivaiD· 1 shared Anna K. ChildersiD· 1 shared Athanasios OikonomouiD· 1 shared Aurora SavinoiD· 1 shared Ferran MuiñosiD· 1 shared

Activity by Year

2019-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Abel González-PérezORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

CRISPR-enhanced assessment of variants of unknown significance nominates oncology therapeutic targets and drug repositioning opportunities

Aurora Savino, Athanasios Oikonomou, Francesca Perrone, Riccardo Roberto De Lucia, Letizia De Pietri, Yousra Belattar, Luke Brown, Miguel L. Grau, Katrina McCarten, Hanna Najgebauer, Umberto Perron, Luca Azzolin, Alexandra Livanova, Paolo Cremaschi, Núria López, , Francesco Iorio

CRISPR-VUS identifies rare variants linked to gene dependency in cancer cell lines, prioritizing potential drivers and therapeutic targets through functional validation.

bioRxiv · Sep 12, 2026 · PreprintBioinformatics

Identification of Clonal Hematopoiesis Driver Mutations through In Silico Saturation Mutagenesis

Santiago Demajo, Joan E. Ramis-Zaldivar, Ferran Muiños, Miguel L. Grau, Maria A. Andrianova, Núria López-Bigas, Abel González-Pérez

The paper develops machine learning models to identify clonal hematopoiesis driver mutations, outperforming existing methods and applying them to UK Biobank data to confirm known associations.

Cancer Discovery · May 9, 2024Peer-reviewedGenetic & Genomic Medicine

Divergent selection following speciation in two ectoparasitic honey bee mites

Maéva Angélique Techer, Rahul Rane, Miguel L. Grau, John M. K. Roberts, Shawn T Sullivan, Ivan Liachko, Anna K. Childers, Jay Daniel Evans, Alexander S. Mikheyev

The paper examines the evolutionary divergence of two honey bee mite species, identifying gene families under divergent selection and suggesting species-specific strategies for parasite control.

Communications Biology · Oct 1, 2019Peer-reviewedGenomics