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COVID-BIOCHIP: A Web Tool to Analyse COVID-19 Antigen Microarrays.
Sucre, Aurora; Amaya-Rodriguez, Isabel; Rho, Hee-Sool; Serna, Sonia; Reichardt, Niels; Garin-Muga, Alba; Epelde, Gorka.
  • Sucre A; Vicomtech Foundation, Basque Research and Technology Alliance (BRTA), 20009 Donostia-San Sebastián, Spain.
  • Amaya-Rodriguez I; Biodonostia Health Research Institute, Basque Research and Technology Alliance (BRTA), 20014 Donostia-San Sebastián, Spain.
  • Rho HS; Vicomtech Foundation, Basque Research and Technology Alliance (BRTA), 20009 Donostia-San Sebastián, Spain.
  • Serna S; CIC BiomaGUNE, Basque Research and Technology Alliance (BRTA), 20009 Donostia-San Sebastián, Spain.
  • Reichardt N; CIC BiomaGUNE, Basque Research and Technology Alliance (BRTA), 20009 Donostia-San Sebastián, Spain.
  • Garin-Muga A; CIC BiomaGUNE, Basque Research and Technology Alliance (BRTA), 20009 Donostia-San Sebastián, Spain.
  • Epelde G; Vicomtech Foundation, Basque Research and Technology Alliance (BRTA), 20009 Donostia-San Sebastián, Spain.
Stud Health Technol Inform ; 295: 183-186, 2022 Jun 29.
Article in English | MEDLINE | ID: covidwho-1924025
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2022 Document Type: Article Affiliation country: SHTI220692

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Limits: Humans Language: English Journal: Stud Health Technol Inform Journal subject: Medical Informatics / Health Services Research Year: 2022 Document Type: Article Affiliation country: SHTI220692