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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Discovery of clinically approved drugs capable of inhibiting SARS-CoV-2 in vitro infection using a phenotypic screening strategy and network-analysis to predict their potential to treat covid-19
This article has 10 authors:Reviewed by ScreenIT
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Comprehensive variant and haplotype landscapes of 50,500 global SARS-CoV-2 isolates and accelerating accumulation of country-private variant profiles
This article has 5 authors:Reviewed by ScreenIT
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Structurally Resolved SARS-CoV-2 Antibody Shows High Efficacy in Severely Infected Hamsters and Provides a Potent Cocktail Pairing Strategy
This article has 35 authors:Reviewed by ScreenIT
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Assessment of SARS-CoV-2 specific CD4(+) and CD8 (+) T cell responses using MHC class I and II tetramers
This article has 4 authors:Reviewed by ScreenIT
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Human B Cell Clonal Expansion and Convergent Antibody Responses to SARS-CoV-2
This article has 25 authors:Reviewed by ScreenIT
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Air and surface contamination in non-health care settings among 641 environmental specimens of 39 COVID-19 cases
This article has 14 authors:Reviewed by ScreenIT
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Screening and testing for a suitable untransfected cell line for SARS-CoV-2 studies
This article has 19 authors:Reviewed by ScreenIT
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Dual nature of human ACE2 glycosylation in binding to SARS-CoV-2 spike
This article has 2 authors:Reviewed by ScreenIT
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Decline of Humoral Responses against SARS-CoV-2 Spike in Convalescent Individuals
This article has 19 authors:Reviewed by ScreenIT
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Towards the design of multiepitope-based peptide vaccine candidate against SARS-CoV-2
This article has 3 authors:Reviewed by ScreenIT