COVID-BIOCHIP: A Web Tool to Analyse COVID-19 Antigen Microarrays

Autores: Aurora María Sucre Rodríguez Isabel Amaya Rodriguez Hee-Sool Rho Sonia Serna Niels Reichardt Alba Garin Muga Gorka Epelde Unanue

Fecha: 29.06.2022

Studies in Health Technology and Informatics


Abstract

During the COVID-19 pandemic, there was a growing need to characterise the disease. A very important aspect is the ability to measure the immunisation extent, which can be achieved using antigen microarrays that quantitively measure the presence of COVID-related antibodies. A significant limitation for these tests was the complexity of manually analysing the results, and the limited availability of software for its analysis. In this paper, we describe the development of COVID-BIOCHIP, an ad-hoc web-based solution for the automatic analysis and visualisation of COVID-19 antigen microarray data results

BIB_text

@Article {
title = {COVID-BIOCHIP: A Web Tool to Analyse COVID-19 Antigen Microarrays},
journal = {Studies in Health Technology and Informatics},
pages = {183-186},
volume = {295},
keywds = {
COVID-19, microarrays, antigens, web development, data analysis
}
abstract = {

During the COVID-19 pandemic, there was a growing need to characterise the disease. A very important aspect is the ability to measure the immunisation extent, which can be achieved using antigen microarrays that quantitively measure the presence of COVID-related antibodies. A significant limitation for these tests was the complexity of manually analysing the results, and the limited availability of software for its analysis. In this paper, we describe the development of COVID-BIOCHIP, an ad-hoc web-based solution for the automatic analysis and visualisation of COVID-19 antigen microarray data results


}
doi = {10.3233/SHTI220692},
date = {2022-06-29},
}
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