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CoV2ID: Detection and Therapeutics Oligo Database for SARS-CoV-2

View ORCID ProfileJoão Carneiro, View ORCID ProfileCatarina Gomes, View ORCID ProfileCátia Couto, View ORCID ProfileFilipe Pereira
doi: https://doi.org/10.1101/2020.04.19.048991
João Carneiro
1Interdisciplinary Centre of Marine and Environmental Research (CIIMAR), University of Porto, Portugal
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Catarina Gomes
2IDENTIFICA, Science and Technology Park of the University of Porto - UPTEC, Porto, Portugal
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Cátia Couto
2IDENTIFICA, Science and Technology Park of the University of Porto - UPTEC, Porto, Portugal
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Filipe Pereira
2IDENTIFICA, Science and Technology Park of the University of Porto - UPTEC, Porto, Portugal
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  • For correspondence: fpereirapt@gmail.com
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Abstract

The ability to detect the SARS-CoV-2 in a widespread epidemic is crucial for screening of carriers and for the success of quarantine efforts. Methods based on real-time reverse transcription polymerase chain reaction (RT-qPCR) and sequencing are being used for virus detection and characterization. However, RNA viruses are known for their high genetic diversity which poses a challenge for the design of efficient nucleic acid-based assays. The first SARS-CoV-2 genomic sequences already showed novel mutations, which may affect the efficiency of available screening tests leading to false-negative diagnosis or inefficient therapeutics. Here we describe the CoV2ID (http://covid.portugene.com/), a free database built to facilitate the evaluation of molecular methods for detection of SARS-CoV-2 and treatment of COVID-19. The database evaluates the available oligonucleotide sequences (PCR primers, RT-qPCR probes, etc.) considering the genetic diversity of the virus. Updated sequences alignments are used to constantly verify the theoretical efficiency of available testing methods. Detailed information on available detection protocols are also available to help laboratories implementing SARS-CoV-2 testing.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • http://covid.portugene.com/

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
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Posted June 12, 2020.
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CoV2ID: Detection and Therapeutics Oligo Database for SARS-CoV-2
João Carneiro, Catarina Gomes, Cátia Couto, Filipe Pereira
bioRxiv 2020.04.19.048991; doi: https://doi.org/10.1101/2020.04.19.048991
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CoV2ID: Detection and Therapeutics Oligo Database for SARS-CoV-2
João Carneiro, Catarina Gomes, Cátia Couto, Filipe Pereira
bioRxiv 2020.04.19.048991; doi: https://doi.org/10.1101/2020.04.19.048991

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