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The source code for the covidClassifyR Shiny web application, which streamlines the data processing of Luminex-based SARS-CoV-2 serological data to classify recent exposure to COVID-19

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shaziaruybal/covidClassifyR

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covidClassifyR

This analytical tool was developed to streamline the processing of serological data generated using a validated high-throughput multiplex serological assay for measuring antibodies to SARS-CoV-2 (Mazhari et al 2021). This tool also aims to make the quality control and interpretation of the raw data generated from this serological assay accessible to all researchers without the need for a specialist background in statistical methods and advanced programming. In addition, the data processing and quality control parts of this tool can also be used to process serological data generated using other Luminex-based assays for other organisms, e.g. Plasmodium spp.

Accessing the web application

covidClassifyR is available as an easy-to-use web application at https://shaziaruybal.shinyapps.io/covidClassifyR/

Training workshop

A four-day workshop prepared for end-users at Papua New Guinea Institute of Medical Research and partner institutions can be found at https://shaziaruybal.github.io/covidClassifyR-workshop

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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The source code for the covidClassifyR Shiny web application, which streamlines the data processing of Luminex-based SARS-CoV-2 serological data to classify recent exposure to COVID-19

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