Reliable and accurate diagnostics from highly multiplexed sequencing assays.
Sci Rep
; 10(1): 21759, 2020 12 10.
Article
en En
| MEDLINE
| ID: mdl-33303831
ABSTRACT
Scalable, inexpensive, and secure testing for SARS-CoV-2 infection is crucial for control of the novel coronavirus pandemic. Recently developed highly multiplexed sequencing assays (HMSAs) that rely on high-throughput sequencing can, in principle, meet these demands, and present promising alternatives to currently used RT-qPCR-based tests. However, reliable analysis, interpretation, and clinical use of HMSAs requires overcoming several computational, statistical and engineering challenges. Using recently acquired experimental data, we present and validate a computational workflow based on kallisto and bustools, that utilizes robust statistical methods and fast, memory efficient algorithms, to quickly, accurately and reliably process high-throughput sequencing data. We show that our workflow is effective at processing data from all recently proposed SARS-CoV-2 sequencing based diagnostic tests, and is generally applicable to any diagnostic HMSA.
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Contexto en salud:
4_TD
Problema de salud:
4_pneumonia
Asunto principal:
Técnicas de Diagnóstico Molecular
/
Reacción en Cadena en Tiempo Real de la Polimerasa
/
Prueba de Ácido Nucleico para COVID-19
/
SARS-CoV-2
/
COVID-19
Tipo de estudio:
Diagnostic_studies
Límite:
Humans
Idioma:
En
Revista:
Sci Rep
Año:
2020
Tipo del documento:
Article
País de afiliación:
Estados Unidos