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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Phylogenetic clustering of the Indian SARS-CoV-2 genomes reveals the presence of distinct clades of viral haplotypes among states
This article has 2 authors:Reviewed by ScreenIT
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Analysis of Emerging Variants in Structured Regions of the SARS-CoV-2 Genome
This article has 5 authors:Reviewed by ScreenIT
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Single-dose replicating RNA vaccine induces neutralizing antibodies against SARS-CoV-2 in nonhuman primates
This article has 22 authors:Reviewed by ScreenIT
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“Monoclonal-type” plastic antibodies for SARS-CoV-2 based on Molecularly Imprinted Polymers
This article has 9 authors:Reviewed by ScreenIT
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Comprehensive transcriptomic analysis of COVID-19 blood, lung, and airway
This article has 10 authors:Reviewed by ScreenIT
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Evaluation of Commercial qPCR Kits for Detection of SARS-CoV-2 in Pooled Samples
This article has 7 authors:Reviewed by ScreenIT
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Optimizing high-yield production of SARS-CoV-2 soluble spike trimers for serology assays
This article has 13 authors:Reviewed by ScreenIT
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Integrated sample inactivation, amplification, and Cas13-based detection of SARS-CoV-2
This article has 19 authors:Reviewed by ScreenIT
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Comparison of the NeuMoDX, Diasorin Simplexa, Cepheid and Roche CDC SARS-CoV 2 EUA assays using nasopharyngeal/nasal swabs in universal transport media (UTM) and sputum and tracheal aspirates
This article has 5 authors:Reviewed by ScreenIT
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Evidence for Anti-Viral Effects of Complete Freund’s Adjuvant in the Mouse Model of Enterovirus Infection
This article has 5 authors:Reviewed by ScreenIT