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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SARS-CoV-2 proteins and anti-COVID-19 drugs induce lytic reactivation of an oncogenic virus
This article has 7 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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Meta-analysis of MERS, SARS and COVID-19 in vitro Infection Datasets Reveals Common Patterns in Gene and Protein Expression
This article has 3 authors:Reviewed by ScreenIT
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Evidence that higher temperatures are associated with lower incidence of COVID-19 in pandemic state, cumulative cases reported up to March 27, 2020
This article has 1 author:Reviewed by ScreenIT
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Characterization of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection Clusters Based on Integrated Genomic Surveillance, Outbreak Analysis and Contact Tracing in an Urban Setting
This article has 126 authors:Reviewed by ScreenIT
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Mosaic nanoparticles elicit cross-reactive immune responses to zoonotic coronaviruses in mice
This article has 13 authors:Reviewed by ScreenIT
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A high-throughput microfluidic nanoimmunoassay for detecting anti–SARS-CoV-2 antibodies in serum or ultralow-volume blood samples
This article has 10 authors:Reviewed by ScreenIT
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Discovery of Clioquinol and Analogues as Novel Inhibitors of Severe Acute Respiratory Syndrome Coronavirus 2 Infection, ACE2 and ACE2 - Spike Protein Interaction In Vitro
This article has 4 authors:Reviewed by ScreenIT
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Sequences in the cytoplasmic tail of SARS-CoV-2 Spike facilitate expression at the cell surface and syncytia formation
This article has 6 authors:Reviewed by ScreenIT
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Environmental Dependence of the Structure of the C-terminal Domain of the SARS-CoV-2 Envelope Protein
This article has 7 authors:Reviewed by ScreenIT
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Examination of Isolation Rate in SIQR model for COVID-19 Epidemic
This article has 1 author:Reviewed by ScreenIT