ScreenIT
The Automated Screening Working Groups is a group of software engineers and biologists passionate about improving scientific manuscripts on a large scale. Our members have created tools that check for common problems in scientific manuscripts, including information needed to improve transparency and reproducibility. We have combined our tools into a single pipeline, called ScreenIT. We're currently using our tools to screen COVID preprints.
Latest preprint reviews
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Paired SARS-CoV-2 spike protein mutations observed during ongoing SARS-CoV-2 viral transfer from humans to minks and back to humans
This article has 11 authors:Reviewed by ScreenIT
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Quarantine and the risk of COVID-19 importation
This article has 4 authors:Reviewed by ScreenIT
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Persistent cellular immunity to SARS-CoV-2 infection
This article has 10 authors:Reviewed by ScreenIT
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SARS-CoV-2 RECoVERY: a multi-platform open-source bioinformatic pipeline for the automatic construction and analysis of SARS-CoV-2 genomes from NGS sequencing data
This article has 6 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Engineering, production and characterization of Spike and Nucleocapsid structural proteins of SARS–CoV-2 in Nicotiana benthamiana as vaccine candidates against COVID-19
This article has 8 authors:Reviewed by ScreenIT
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Modelling strategies to organize healthcare workforce during pandemics: Application to COVID-19
This article has 5 authors:Reviewed by ScreenIT
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Economic benefits of COVID-19 screening tests
This article has 4 authors:Reviewed by ScreenIT
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Antigenic variation of SARS‐CoV‐2 in response to immune pressure
This article has 7 authors:Reviewed by ScreenIT
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A longitudinal comparison of spike and nucleocapsid SARS-CoV-2 antibody responses in a tertiary hospital’s laboratory workers with validation of DBS specimen analysis
This article has 9 authors:Reviewed by ScreenIT
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Impact of January 2021 curfew measures on SARS-CoV-2 B.1.1.7 circulation in France
This article has 5 authors:Reviewed by ScreenIT