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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Comprehensive in vivo secondary structure of the SARS-CoV-2 genome reveals novel regulatory motifs and mechanisms
This article has 6 authors:Reviewed by ScreenIT
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Discriminating mild from critical COVID-19 by innate and adaptive immune single-cell profiling of bronchoalveolar lavages
This article has 43 authors:Reviewed by ScreenIT
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Genomic Variations in SARS-CoV-2 Genomes From Gujarat: Underlying Role of Variants in Disease Epidemiology
This article has 15 authors:Reviewed by ScreenIT
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Three-Dimensional Human Alveolar Stem Cell Culture Models Reveal Infection Response to SARS-CoV-2
This article has 21 authors:Reviewed by ScreenIT
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Which animals are at risk? Predicting species susceptibility to Covid-19
This article has 10 authors:Reviewed by ScreenIT
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Replication-Competent Vesicular Stomatitis Virus Vaccine Vector Protects against SARS-CoV-2-Mediated Pathogenesis in Mice
This article has 19 authors:Reviewed by ScreenIT
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A drug repurposing screen identifies hepatitis C antivirals as inhibitors of the SARS-CoV2 main protease
This article has 5 authors:Reviewed by Review Commons, ScreenIT
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Molecular analysis of binding region of an ACE2 as a receptor for SARS-CoV-2 between humans and mammals
This article has 5 authors:Reviewed by ScreenIT
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SARS-CoV-2 infection in the lungs of human ACE2 transgenic mice causes severe inflammation, immune cell infiltration, and compromised respiratory function
This article has 17 authors:Reviewed by ScreenIT
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Severely ill COVID-19 patients display augmented functional properties in SARS-CoV-2-reactive CD8 + T cells
This article has 11 authors:Reviewed by ScreenIT