Abstract: A device for determining a HRD index of presence of Homologous Recombination Deficiency, HRD, in a genome of a subject, the device being configured for: receiving shallow WGS data and non-shallow sequencing data relative to a group of genes in the subject genome, obtaining at least one first parameter from the shallow WGS data and at least one second parameter from non-shallow sequencing data, and determining, by applying a HRD prediction Machine Learning Model to the obtained at least first and second parameters, an HRD index representative of presence of HRD in the subject genome.

Abstract: A computer-implemented method for decision support of a user to standardize phenotyping in genomic analysis of a subject, wherein the method includes: receiving a list of symptoms having at least one symptom observed for the subject; receiving a first graph having nodes and weighted links; receiving a second graph being previously obtained applying a matrix factorization to a gene-symptom matrix; and outputting at least one gene associated to the list of symptoms based on the first graph and on the second graph.

Abstract: A genomic data analysis architecture includes a plurality of application nodes, each application node including a calculation system including at least one calculation node, the calculation system being constructed and arranged so as to carry out genomic calculations, a human-machine interface constructed and arranged so as to communicate with the calculation system, and a knowledge base access interface, and including a knowledge base constructed and arranged so as to communicate with the plurality of application nodes. The knowledge base contains genomic data.