ScreenIT
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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Read2Tree: scalable and accurate phylogenetic trees from raw reads
This article has 5 authors:Reviewed by ScreenIT
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Persistent cross-species SARS-CoV-2 variant infectivity predicted via comparative molecular dynamics simulation
This article has 2 authors:Reviewed by ScreenIT
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Methadone overdoses increased 48% during the COVID-19 epidemic
This article has 4 authors:Reviewed by ScreenIT
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Validation of reduced S-gene target performance and failure for rapid surveillance of SARS-CoV-2 variants
This article has 4 authors:Reviewed by ScreenIT
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An optimized flow cytometry protocol for simultaneous detection of T cell activation induced markers and intracellular cytokines: application to SARS-Cov-2 vaccinated individuals
This article has 4 authors:Reviewed by ScreenIT
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Effectiveness of BBIBP-CorV, BNT162b2 and mRNA-1273 vaccines against hospitalisations among children and adolescents during the Omicron outbreak in Argentina: A retrospective cohort study
This article has 16 authors:Reviewed by ScreenIT
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The Spike Protein of SARS-CoV-2 Impairs Lipid Metabolism and Increases Susceptibility to Lipotoxicity: Implication for a Role of Nrf2
This article has 9 authors:Reviewed by ScreenIT
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Nonstructural protein 1 widespread RNA decay phenotype varies among coronaviruses
This article has 3 authors:Reviewed by ScreenIT
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COVID-19 infection and transmission includes complex sequence diversity
This article has 8 authors:Reviewed by ScreenIT
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A comparative analysis of pediatric mental health-related emergency department utilization in Montréal, Canada, before and during the COVID-19 pandemic
This article has 8 authors:Reviewed by ScreenIT