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Reliable and accurate diagnostics from highly multiplexed sequencing assays.


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.

SUBMITTER: Booeshaghi AS 

PROVIDER: S-EPMC7730459 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Reliable and accurate diagnostics from highly multiplexed sequencing assays.

Booeshaghi A Sina AS   Lubock Nathan B NB   Cooper Aaron R AR   Simpkins Scott W SW   Bloom Joshua S JS   Gehring Jase J   Luebbert Laura L   Kosuri Sri S   Pachter Lior L  

Scientific reports 20201210 1


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  ...[more]

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