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assayM: a web application to monitor mutations in COVID-19 diagnostic assays.

Mohamed Ghazzali, R. N.; Pain, A.

2020-12-18 bioinformatics
10.1101/2020.12.18.423467 bioRxiv
Show abstract

SummaryReverse Transcriptase - Polymerase Chain Reaction (RT-PCR) is the gold standard as diagnostic assays for the detection of COVID-19 and the specificity and sensitivity of these assays depend on the complementarity of the RT-PCR primers to the genome of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Since the virus mutates over time during replication cycles, there is an urgent need to continuously monitor the virus genome for appearances of mutations and mismatches in the PCR primers used in these assays. Here we present assayM, a web application to explore and monitor mutations introduced in the primer and probe sequences published by the World Health Organisation (WHO) or in any custom-designed assay primers for SARS-CoV-2 detection assays in globally available SARS-CoV-2 genome datasets. Availability and implementationassayM is available on https://grafnet.kaust.edu.sa/assayM as a web application and also as an open-source R shiny application, downloadable from https://github.com/raeece/assayM Contactarnab.pain@kaust.edu.sa

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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.