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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Development of a Vaccine against SARS-CoV-2 Based on the Receptor-Binding Domain Displayed on Virus-Like Particles
This article has 15 authors:Reviewed by ScreenIT
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COVID-19: viral–host interactome analyzed by network based-approach model to study pathogenesis of SARS-CoV-2 infection
This article has 55 authors:Reviewed by ScreenIT
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In silico trial to test COVID-19 candidate vaccines: a case study with UISS platform
This article has 7 authors:Reviewed by ScreenIT
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Suramin Inhibits SARS-CoV-2 Infection in Cell Culture by Interfering with Early Steps of the Replication Cycle
This article has 10 authors:Reviewed by ScreenIT
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A simple RNA preparation method for SARS-CoV-2 detection by RT-qPCR
This article has 16 authors:Reviewed by ScreenIT
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The coding capacity of SARS-CoV-2
This article has 17 authors:Reviewed by ScreenIT
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Scaling COVID-19 against inequalities: should the policy response consistently match the mortality challenge?
This article has 4 authors:Reviewed by ScreenIT
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Multivariate Prediction Network Model for epidemic progression to study the effects of lockdown time and coverage on a closed community on theoretical and real scenarios of COVID-19
This article has 2 authors:Reviewed by ScreenIT
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COVID-19 Scenarios: an interactive tool to explore the spread and associated morbidity and mortality of SARS-CoV-2
This article has 8 authors:Reviewed by ScreenIT
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A combined approach of MALDI-TOF mass spectrometry and multivariate analysis as a potential tool for the detection of SARS-CoV-2 virus in nasopharyngeal swabs
This article has 12 authors:Reviewed by ScreenIT