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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Intronic regulation of SARS-CoV-2 receptor (ACE2) expression mediated by immune signaling and oxidative stress pathways
This article has 8 authors:Reviewed by ScreenIT
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Early Epidemiological Evidence of Public Health Value of WA Notify, a Smartphone-based Exposure Notification Tool: Modeling COVID-19 Cases Averted in Washington State
This article has 6 authors:Reviewed by ScreenIT
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Predicted coronavirus Nsp5 protease cleavage sites in the human proteome
This article has 5 authors:Reviewed by ScreenIT
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Comprehensive analysis of RNA-seq and whole genome sequencing data reveals no evidence for SARS-CoV-2 integrating into host genome
This article has 14 authors:Reviewed by ScreenIT
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The UK Coronavirus Job Retention Scheme and diet, physical activity, and sleep during the COVID-19 pandemic: evidence from eight longitudinal population surveys
This article has 18 authors:Reviewed by ScreenIT
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E156G and Arg158, Phe-157/del mutation in NTD of spike protein in B.1.617.2 lineage of SARS-CoV-2 leads to immune evasion through antibody escape
This article has 5 authors:Reviewed by ScreenIT
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Neutralization against B.1.351 and B.1.617.2 with sera of COVID-19 recovered cases and vaccinees of BBV152
This article has 13 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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The Effect of Pandemic Prevalence on the Reported Efficacy of SARS-CoV-2 Vaccine Candidates: A Systematic Review and Meta-analysis
This article has 2 authors:Reviewed by ScreenIT
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FXa cleaves the SARS-CoV-2 spike protein and blocks cell entry to protect against infection with inferior effects in B.1.1.7 variant
This article has 14 authors:Reviewed by ScreenIT
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Neutralizing antibody activity in convalescent sera from infection in humans with SARS-CoV-2 and variants of concern
This article has 32 authors:Reviewed by ScreenIT