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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Comprehensive in-vivo secondary structure of the SARS-CoV-2 genome reveals novel regulatory motifs and mechanisms
This article has 5 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 28 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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Robust three-dimensional expansion of human adult alveolar stem cells and SARS-CoV-2 infection
This article has 20 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
This article has 16 authors:Reviewed by ScreenIT
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A drug repurposing screen identifies hepatitis C antivirals as inhibitors of the SARS-CoV-2 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