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Short report
Wei Hou
Corresponding Author
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This work is licensed under a CC BY 4.0 License. Read Full License
The outbreak of COVID-19 due to a novel coronavirus SARS-CoV-2 has posed significant threats to international health. In this study we perform bioinformatic analysis to take a snapshot of the codon usage pattern of SARS-CoV-2 and uncover that this novel coronavirus has a relatively low codon usage bias. The information from this research may not only be helpful to get new insights into the evolution of SARS-CoV-2, but also have potential value for developing coronavirus vaccines.
Keywords
COVID-19, coronaviruses, SARS-CoV-2, codon usage pattern
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Peer Review Timeline
CURRENT STATUS: Published
View the published article at Virology Journal.
No community comments so far
Editorial decision: Accept
On 29 Jun, 2020
Review #3 received
Received 17 Jun, 2020
Reviewer #3 agreed
On 12 Jun, 2020
Reviewers invited
Invitations sent on 11 Jun, 2020
Reviewer #1 agreed
On 11 Jun, 2020
Reviewer #2 agreed
On 11 Jun, 2020
Review #1 received
Received 11 Jun, 2020
Review #2 received
Received 11 Jun, 2020
Editor assigned
On 03 Jun, 2020
Submission checks complete
On 02 Jun, 2020
Editor invited
On 02 Jun, 2020
Version 1
Posted 17 Apr, 2020
No comments provided
Editorial decision: Major revision
On 26 Apr, 2020
Review #3 received
Received 26 Apr, 2020
Review #2 received
Received 21 Apr, 2020
Reviewer #3 agreed
On 19 Apr, 2020
Review #1 received
Received 19 Apr, 2020
Editor invited
On 16 Apr, 2020
Editor assigned
On 16 Apr, 2020
Reviewers invited
Invitations sent on 16 Apr, 2020
Reviewer #1 agreed
On 16 Apr, 2020
Reviewer #2 agreed
On 16 Apr, 2020
Submission checks complete
On 14 Apr, 2020
First submitted
On 07 Apr, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Virology
Learn more about our company.
A new preprint design is coming!
We have improved readability, clarity, accessibility, and opportunities for engagement.
See the published version of this preprint at Virology Journal.
This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Short report
Wei Hou
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Published
View the published article at Virology Journal.
No community comments so far
Editorial decision: Accept
On 29 Jun, 2020
Review #3 received
Received 17 Jun, 2020
Reviewer #3 agreed
On 12 Jun, 2020
Reviewers invited
Invitations sent on 11 Jun, 2020
Reviewer #1 agreed
On 11 Jun, 2020
Reviewer #2 agreed
On 11 Jun, 2020
Review #1 received
Received 11 Jun, 2020
Review #2 received
Received 11 Jun, 2020
Editor assigned
On 03 Jun, 2020
Submission checks complete
On 02 Jun, 2020
Editor invited
On 02 Jun, 2020
Version 1
Posted 17 Apr, 2020
No comments provided
Editorial decision: Major revision
On 26 Apr, 2020
Review #3 received
Received 26 Apr, 2020
Review #2 received
Received 21 Apr, 2020
Reviewer #3 agreed
On 19 Apr, 2020
Review #1 received
Received 19 Apr, 2020
Editor invited
On 16 Apr, 2020
Editor assigned
On 16 Apr, 2020
Reviewers invited
Invitations sent on 16 Apr, 2020
Reviewer #1 agreed
On 16 Apr, 2020
Reviewer #2 agreed
On 16 Apr, 2020
Submission checks complete
On 14 Apr, 2020
First submitted
On 07 Apr, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Virology
License:
This work is licensed under a CC BY 4.0 License. Read Full License
View the published article at Virology Journal.
The outbreak of COVID-19 due to a novel coronavirus SARS-CoV-2 has posed significant threats to international health. In this study we perform bioinformatic analysis to take a snapshot of the codon usage pattern of SARS-CoV-2 and uncover that this novel coronavirus has a relatively low codon usage bias. The information from this research may not only be helpful to get new insights into the evolution of SARS-CoV-2, but also have potential value for developing coronavirus vaccines.
Figure 1
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