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The Easy-to-Use SARS-CoV-2 Assembler for Genome Sequencing: Development Study

BACKGROUND: Early sequencing and quick analysis of the SARS-CoV-2 genome have contributed to the understanding of the dynamics of COVID-19 epidemics and in designing countermeasures at a global level. OBJECTIVE: Amplicon-based next-generation sequencing (NGS) methods are widely used to sequence the...

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Detalles Bibliográficos
Autores principales: Rueca, Martina, Giombini, Emanuela, Messina, Francesco, Bartolini, Barbara, Di Caro, Antonino, Capobianchi, Maria Rosaria, Gruber, Cesare EM
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8924907/
https://www.ncbi.nlm.nih.gov/pubmed/35309411
http://dx.doi.org/10.2196/31536
Descripción
Sumario:BACKGROUND: Early sequencing and quick analysis of the SARS-CoV-2 genome have contributed to the understanding of the dynamics of COVID-19 epidemics and in designing countermeasures at a global level. OBJECTIVE: Amplicon-based next-generation sequencing (NGS) methods are widely used to sequence the SARS-CoV-2 genome and to identify novel variants that are emerging in rapid succession as well as harboring multiple deletions and amino acid–changing mutations. METHODS: To facilitate the analysis of NGS sequencing data obtained from amplicon-based sequencing methods, here, we propose an easy-to-use SARS-CoV-2 genome assembler: the Easy-to-use SARS-CoV-2 Assembler (ESCA) pipeline. RESULTS: Our results have shown that ESCA could perform high-quality genome assembly from Ion Torrent and Illumina raw data and help the user in easily correct low-coverage regions. Moreover, ESCA includes the possibility of comparing assembled genomes of multisample runs through an easy table format. CONCLUSIONS: In conclusion, ESCA automatically furnished a variant table output file, fundamental to rapidly recognizing variants of interest. Our pipeline could be a useful method for obtaining a complete, rapid, and accurate analysis even with minimal knowledge in bioinformatics.