Highly accurate whole-genome imputation of SARS-CoV-2 from partial or low-quality sequences.

Francisco M Ortuño Carlos Loucera Carlos S Casimiro-Soriguer José Antonio Lepe Pedro Camacho-Martínez Laura Merino Diaz Adolfo de Salazar Natalia Chueca Federico Garcia Javier Perez-Florido Joaquín Dopazo

Published in: GigaScience (2021)

Imputation can improve the pace of SARS-CoV-2 sequencing production by recovering many incomplete or low-quality sequences that would be otherwise discarded. ImpuSARS can be incorporated in any primary data processing pipeline for SARS-CoV-2 whole-genome sequencing.

Keyphrases

sars cov
respiratory syndrome coronavirus
electronic health record
single cell
high resolution
big data
machine learning
mass spectrometry
coronavirus disease
artificial intelligence
deep learning