Provides accurate genome-wide branchpoint annotations. LaBranchoR is a computational method that disregards noise in the experimental data leading to robust predictions. It helps in the identification of pathogenic genetic variants. This method offers in silico mutagenesis scores able to distinguish pathogenic variants from variants in the general population. This show that explicit branchpoint prediction provides information not captured by others generic splicing models.