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Dataset Information

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


ABSTRACT:

Background

The current SARS-CoV-2 pandemic has emphasized the utility of viral whole-genome sequencing in the surveillance and control of the pathogen. An unprecedented ongoing global initiative is producing hundreds of thousands of sequences worldwide. However, the complex circumstances in which viruses are sequenced, along with the demand of urgent results, causes a high rate of incomplete and, therefore, useless sequences. Viral sequences evolve in the context of a complex phylogeny and different positions along the genome are in linkage disequilibrium. Therefore, an imputation method would be able to predict missing positions from the available sequencing data.

Results

We have developed the impuSARS application, which takes advantage of the enormous number of SARS-CoV-2

SUBMITTER: Ortuno FM 

PROVIDER: S-EPMC8643610 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature