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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JAK1 Inhibition Blocks Lethal Immune Hypersensitivity in a Mouse Model of Down Syndrome
This article has 16 authors:Reviewed by ScreenIT
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Genetic grouping of SARS-CoV-2 coronavirus sequences using informative subtype markers for pandemic spread visualization
This article has 5 authors:Reviewed by ScreenIT
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Gene expression and in situ protein profiling of candidate SARS-CoV-2 receptors in human airway epithelial cells and lung tissue
This article has 24 authors:Reviewed by ScreenIT
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Single-cell analysis of two severe COVID-19 patients reveals a monocyte-associated and tocilizumab-responding cytokine storm
This article has 24 authors:Reviewed by ScreenIT
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The Spatial and Cell-Type Distribution of SARS-CoV-2 Receptor ACE2 in the Human and Mouse Brains
This article has 8 authors:Reviewed by ScreenIT
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The IMPDH inhibitor merimepodib suppresses SARS-CoV-2 replication in vitro
This article has 6 authors:Reviewed by ScreenIT
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Vulnerabilities of the SARS-CoV-2 Virus to Proteotoxicity—Opportunity for Repurposed Chemotherapy of COVID-19 Infection
This article has 7 authors:Reviewed by ScreenIT
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Absence of SARS-CoV-2 infection in cats and dogs in close contact with a cluster of COVID-19 patients in a veterinary campus
This article has 14 authors:Reviewed by ScreenIT
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Robust neutralization assay based on SARS-CoV-2 S-bearing vesicular stomatitis virus (VSV) pseudovirus and ACE2-overexpressed BHK21 cells
This article has 23 authors:Reviewed by ScreenIT
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Sequence-based prediction of SARS-CoV-2 vaccine targets using a mass spectrometry-based bioinformatics predictor identifies immunogenic T cell epitopes
This article has 11 authors:Reviewed by ScreenIT