RAZOR: a database of PCR primers targeting human respiratory viruses

Respiratory viruses like SARS-CoV-2, Influenza A, and others represent a considerable threat to public health, infecting millions of people annually. Previous respiratory virus outbreaks have demonstrated the value of polymerase chain reaction (PCR) testing as a gold standard for definitive virus identification; however, existing database resources for viral PCR primer design are either outdated or restricted to a small number of species. To address the need for updated and comprehensive viral PCR resources, we introduce RAZOR, a database of nearly 20 000 primers covering 20 different respiratory virus species. We created genome-wide template sets for each virus and used them to design quantitative PCR (qPCR) and standard PCR primer pairs with Primer3. Detailed primer information, including sequence coordinates, melting and annealing temperatures, GC content, and hairpin structure probabilities, is provided through a user-friendly Integrative Genomics Viewer (IGV) interactive display. Validated primers, including a group of SARS-CoV-2 primers tested by our group, are also showcased in a dedicated section of the IGV. RAZOR stands out as a valuable tool for investigators designing targeted PCR approaches for respiratory virus detection. Database URL: https://razor-razor.webapps.iu.edu.

Authors

Institutions

Publication Details

Journal
NAR Genomics and Bioinformatics
Published
2026-01-06
DOI
https://doi.org/10.1093/nargab/lqag005
Primary Topic
Molecular Biology Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

RAZOR: a database of PCR primers targeting human respiratory viruses

Rajneesh Srivastava, Quoseena Mir, Hunter M Gill, Sarath Chandra Janga
NAR Genomics and Bioinformatics
Molecular Biology Techniques and Applications
article

RAZOR: a database of PCR primers targeting human respiratory viruses

Rajneesh Srivastava, Quoseena Mir, Hunter M Gill, Sarath Chandra Janga
article en

Abstract

Respiratory viruses like SARS-CoV-2, Influenza A, and others represent a considerable threat to public health, infecting millions of people annually. Previous respiratory virus outbreaks have demonstrated the value of polymerase chain reaction (PCR) testing as a gold standard for definitive virus identification; however, existing database resources for viral PCR primer design are either outdated or restricted to a small number of species. To address the need for updated and comprehensive viral PCR resources, we introduce RAZOR, a database of nearly 20 000 primers covering 20 different respiratory virus species. We created genome-wide template sets for each virus and used them to design quantitative PCR (qPCR) and standard PCR primer pairs with Primer3. Detailed primer information, including sequence coordinates, melting and annealing temperatures, GC content, and hairpin structure probabilities, is provided through a user-friendly Integrative Genomics Viewer (IGV) interactive display. Validated primers, including a group of SARS-CoV-2 primers tested by our group, are also showcased in a dedicated section of the IGV. RAZOR stands out as a valuable tool for investigators designing targeted PCR approaches for respiratory virus detection. Database URL: https://razor-razor.webapps.iu.edu.

NAR Genomics and BioinformaticsVol. 8(1)
McGowan Institute for Regenerative Medicine (US), Indiana University – Purdue University Indianapolis (US)
Eli Lilly and Company, Lilly Endowment, Indo-US Science and Technology Forum, National Institutes of Health, School of Medicine, Indiana University, National Institute of General Medical Sciences
Openalex Percentile: Top 77%
Molecular Biology Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.