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CoVrimer: A tool for aligning SARS-CoV-2 primer sequences and selection of conserved/degenerate primers.
Vural-Ozdeniz, Merve; Akturk, Aslinur; Demirdizen, Mert; Leka, Ronaldo; Acar, Rana; Konu, Ozlen.
  • Vural-Ozdeniz M; Interdisciplinary Neuroscience Program, Bilkent University, Ankara, Turkey.
  • Akturk A; Department of Molecular Biology and Genetics, Bilkent University, Ankara, Turkey.
  • Demirdizen M; Department of Molecular Biology and Genetics, Bilkent University, Ankara, Turkey.
  • Leka R; Department of Molecular Biology and Genetics, Bilkent University, Ankara, Turkey.
  • Acar R; Department of Molecular Biology and Genetics, Bilkent University, Ankara, Turkey.
  • Konu O; Interdisciplinary Neuroscience Program, Bilkent University, Ankara, Turkey; Department of Molecular Biology and Genetics, Bilkent University, Ankara, Turkey. Electronic address: konu@fen.bilkent.edu.tr.
Genomics ; 113(5): 3174-3184, 2021 09.
Article in English | MEDLINE | ID: covidwho-1320193
ABSTRACT
As mutations in SARS-CoV-2 virus accumulate rapidly, novel primers that amplify this virus sensitively and specifically are in demand. We have developed a webserver named CoVrimer by which users can search for and align existing or newly designed conserved/degenerate primer pair sequences against the viral genome and assess the mutation load of both primers and amplicons. CoVrimer uses mutation data obtained from an online platform established by NGDC-CNCB (12 May 2021) to identify genomic regions, either conserved or with low levels of mutations, from which potential primer pairs are designed and provided to the user for filtering based on generalized and SARS-CoV-2 specific parameters. Alignments of primers and probes can be visualized with respect to the reference genome, indicating variant details and the level of conservation. Consequently, CoVrimer is likely to help researchers with the challenges posed by viral evolution and is freely available at http//konulabapps.bilkent.edu.tr3838/CoVrimer/.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Software / Sequence Analysis, DNA / DNA Primers / SARS-CoV-2 Topics: Variants Language: English Journal: Genomics Journal subject: Genetics Year: 2021 Document Type: Article Affiliation country: J.ygeno.2021.07.020

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Software / Sequence Analysis, DNA / DNA Primers / SARS-CoV-2 Topics: Variants Language: English Journal: Genomics Journal subject: Genetics Year: 2021 Document Type: Article Affiliation country: J.ygeno.2021.07.020