A four-day workshop on how to use the covidClassifyR Shiny web application, designed for researchers from Papua New Guinea Institute of Medical Research and partner institutions
This is the website for all the materials needed for the four-day workshop to train scientific research officers on how to use the covidClassifyR Shiny web application led by Dr. Shazia Ruybal-Pesántez, Dr. Maria Ome-Kaius and Dr. Fiona Angrisano for researchers from the Papua New Guinea Institute of Medical Research and partner institutions. Meet your instructors here. Funding for the development of covidClassifyR and the related training workshops for PNGIMR researchers was generously provided by a Regional Collaborations Programme COVID-19 Digital Grant from the Australian Academy of Science and Australian Department of Industry, Science, Energy and Resources.
In this four-day workshop you will learn about the data generated using the COVID-19 serology laboratory assay (also described in Mazhari et al 2021), the COVID-19 serological surveys that have been carried out by PNGIMR, and an overview of how to use the covidClassifyR Shiny application to process and analyse data to support COVID-19 research efforts. This workshop will be held via Zoom and in-person at PNGIMR Port Moresby and Goroka offices. Data packages for connectivity during the workshops and for use when using the Shiny application will be provided to all participants.
Day 1:
covidClassifyR Shiny applicationDay 2:
covidClassifyR appDay 3:
Day 4:
covidClassifyR appcovidClassifyR Shiny applicationcovidClassifyR appThis fit-for-purpose 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 downstream processing, 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.
You can access the covidClassifyR Shiny web application here.
A tutorial for how to use the application can be accessed here via the “Tutorial” tab.
You are welcome to take a look at the covidClassifyR app before the workshop and/or the covidClassifyR tutorial.
You will need:
covidClassifyR app loads on your browserAll of the slides and session materials can be found in here.
This workshop was designed for researchers from the Papua New Guinea Institute for Medical Research and partner institutions, and led by Dr. Shazia Ruybal-Pesántez, Dr. Maria Ome-Kaius and Dr. Fiona Angrisano.
Funding for this workshop was provided by a Regional Collaborations Programme COVID-19 Digital Grant from the Australian Academy of Science and Australian Department of Industry, Science, Energy and Resources.
This website was made with the distill package by Dr Shazia Ruybal-Pesántez.
If you see mistakes or want to suggest changes, please create an issue on the source repository.
Text and figures are licensed under Creative Commons Attribution CC BY-SA 4.0. Source code is available at https://github.com/shaziaruybal/covidClassifyR-workshop, unless otherwise noted. The figures that have been reused from other sources don't fall under this license and can be recognized by a note in their caption: "Figure from ...".