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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Obesity alters Ace2 and Tmprss2 expression in lung, trachea, and esophagus in a sex-dependent manner: Implications for COVID-19
This article has 2 authors:Reviewed by ScreenIT
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SARS-CoV-2 RNA in Wastewater Settled Solids Is Associated with COVID-19 Cases in a Large Urban Sewershed
This article has 13 authors:Reviewed by ScreenIT
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No detectable signal for ongoing genetic recombination in SARS-CoV-2
This article has 4 authors:Reviewed by ScreenIT
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Comparative analysis of loop-mediated isothermal amplification (LAMP)-based assays for rapid detection of SARS-CoV-2 genes
This article has 10 authors:Reviewed by ScreenIT
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SARS-CoV-2 detection by extraction-free qRT-PCR for massive and rapid COVID-19 diagnosis during a pandemic in Armenia
This article has 18 authors:Reviewed by ScreenIT
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Modeling Effectiveness of Testing Strategies to Prevent Coronavirus Disease 2019 (COVID-19) in Nursing Homes—United States, 2020
This article has 10 authors:Reviewed by ScreenIT
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Computational Analysis of Dynamic Allostery and Control in the three SARS-CoV-2 non-structural proteins
This article has 4 authors:Reviewed by ScreenIT
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Emergence of the D614A mutation in the spike protein of SARS-CoV-2: Imported cases to the South Korea
This article has 14 authors:Reviewed by ScreenIT
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Sero-prevalence Findings from Metropoles in Pakistan: Implications for Assessing COVID-19 Prevalence and Case-fatality within a Dense, Urban Working Population
This article has 4 authors:Reviewed by ScreenIT
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SARS-CoV-2-Specific Antibody Profiles Distinguish Patients with Moderate from Severe COVID-19
This article has 12 authors:Reviewed by ScreenIT