Fiche publication
Date publication
avril 2019
Journal
Bioinformatics (Oxford, England)
Auteurs
Membres identifiés du Cancéropôle Est :
Pr BAHRAM Siamak
,
Dr CARAPITO Raphaël
Tous les auteurs :
Dilthey AT, Mentzer AJ, Carapito R, Cutland C, Cereb N, Madhi SA, Rhie A, Koren S, Bahram S, McVean G, Phillippy AM
Lien Pubmed
Résumé
HLA*LA implements a new graph alignment model for HLA type inference, based on the projection of linear alignments onto a variation graph. It enables accurate HLA type inference from whole-genome (99% accuracy) and whole-exome (93% accuracy) Illumina data; from long-read Oxford Nanopore and Pacific Biosciences data (98% accuracy for whole-genome and targeted data); and from genome assemblies. Computational requirements for a typical sample vary between 0.7 and 14 CPU hours per sample.
Référence
Bioinformatics. 2019 Apr 3;:
