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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Shotgun proteomics of SARS-CoV-2 infected cells and its application to the optimisation of whole viral particle antigen production for vaccines
This article has 20 authors:Reviewed by ScreenIT
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A Large-scale Drug Repositioning Survey for SARS-CoV-2 Antivirals
This article has 31 authors:Reviewed by ScreenIT
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Analysis of SARS-CoV-2 Antibodies in COVID-19 Convalescent Blood using a Coronavirus Antigen Microarray
This article has 27 authors:Reviewed by ScreenIT
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Multiscale 3-dimensional pathology findings of COVID-19 diseased lung using high-resolution cleared tissue microscopy
This article has 9 authors:Reviewed by ScreenIT
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Revealing variants in SARS-CoV-2 interaction domain of ACE2 and loss of function intolerance through analysis of >200,000 exomes
This article has 4 authors:Reviewed by ScreenIT
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Single-cell analysis of human lung epithelia reveals concomitant expression of the SARS-CoV-2 receptor ACE2 with multiple virus receptors and scavengers in alveolar type II cells
This article has 32 authors:Reviewed by ScreenIT
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SARS-CoV-2 is transmitted via contact and via the air between ferrets
This article has 12 authors:Reviewed by ScreenIT
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State-level variation of initial COVID-19 dynamics in the United States
This article has 2 authors:Reviewed by ScreenIT
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What influences COVID-19 infection rates: A statistical approach to identify promising factors applied to infection data from Germany
This article has 3 authors:Reviewed by ScreenIT
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Massive and rapid COVID-19 testing is feasible by extraction-free SARS-CoV-2 RT-PCR
This article has 13 authors:Reviewed by ScreenIT