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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Variant SARS-CoV-2 mRNA vaccines confer broad neutralization as primary or booster series in mice
This article has 25 authors:Reviewed by ScreenIT
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Lives Saved from Age-Prioritized Covid-19 Vaccination
This article has 3 authors:Reviewed by ScreenIT
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Biochemical and mathematical lessons from the evolution of the SARS-CoV-2 virus: paths for novel antiviral warfare
This article has 5 authors:Reviewed by ScreenIT
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Scalable, methanol‐free manufacturing of the SARS‐CoV‐2 receptor‐binding domain in engineered Komagataella phaffii
This article has 14 authors:Reviewed by ScreenIT
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Accelerated RNA detection using tandem CRISPR nucleases
This article has 49 authors:Reviewed by ScreenIT
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Sensitivity of infectious SARS-CoV-2 B.1.1.7 and B.1.351 variants to neutralizing antibodies
This article has 28 authors:Reviewed by ScreenIT
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Structural basis for broad sarbecovirus neutralization by a human monoclonal antibody
This article has 46 authors:Reviewed by ScreenIT
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N-Glycosylation Network Construction and Analysis to Modify Glycans on the Spike (S) Glycoprotein of SARS-CoV-2
This article has 2 authors:Reviewed by ScreenIT
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Computational analysis of microRNA-mediated interactions in SARS-CoV-2 infection
This article has 2 authors: -
Localised community circulation of SARS-CoV-2 viruses with an increased accumulation of single nucleotide polymorphisms that adversely affect the sensitivity of real-time reverse transcription assays targeting Nucleocapsid protein
This article has 14 authors:Reviewed by ScreenIT