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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Group testing via hypergraph factorization applied to COVID-19
This article has 5 authors:Reviewed by ScreenIT
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Distinct SARS-CoV-2 Antibody Responses Elicited by Natural Infection and mRNA Vaccination
This article has 19 authors:Reviewed by ScreenIT
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Background rates of all-cause mortality, hospitalizations, and emergency department visits among nursing home residents in Ontario, Canada to inform COVID-19 vaccine safety assessments
This article has 12 authors:Reviewed by ScreenIT
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Rationally designed immunogens enable immune focusing to the SARS-CoV-2 receptor binding motif
This article has 10 authors:Reviewed by ScreenIT
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A Human-Immune-System (HIS) humanized mouse model (DRAGA: HLA-A2. HLA-DR4. Rag1 KO.IL-2Rγc KO. NOD) for COVID-19
This article has 12 authors:Reviewed by ScreenIT
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SARS-CoV-2 infects brain choroid plexus and disrupts the blood-CSF-barrier
This article has 8 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT, preLights
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Building alternative consensus trees and supertrees using k -means and Robinson and Foulds distance
This article has 3 authors:Reviewed by ScreenIT
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Characterizing the COVID-19 Illness Experience to Inform the Study of Post-acute Sequelae and Recovery
This article has 15 authors:Reviewed by ScreenIT
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Codon arrangement modulates MHC-I peptides presentation: implications for a SARS-CoV-2 peptide-based vaccine
This article has 4 authors:Reviewed by ScreenIT
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Blood Transcriptomes of Anti-SARS-CoV-2 Antibody-Positive Healthy Individuals Who Experienced Asymptomatic Versus Clinical Infection
This article has 17 authors:Reviewed by ScreenIT