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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A single dose of recombinant VSV-∆G-spike vaccine provides protection against SARS-CoV-2 challenge
This article has 36 authors:Reviewed by ScreenIT
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Long-term SARS-CoV-2-specific immune and inflammatory responses in individuals recovering from COVID-19 with and without post-acute symptoms
This article has 29 authors:Reviewed by ScreenIT
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Serological response to COVID-19 vaccination in IBD patients receiving biologics
This article has 7 authors:Reviewed by ScreenIT
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Computational assessment of the spike protein antigenicity reveals diversity in B cell epitopes but stability in T cell epitopes across SARS-CoV-2 variants
This article has 3 authors:Reviewed by ScreenIT
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Dynamic Data-Driven Algorithm to Predict the Cumulative COVID-19 Infected Cases Using Susceptible-Infected-Susceptible Model
This article has 3 authors:Reviewed by ScreenIT
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FACT subunit SUPT16H associates with BRD4 and contributes to silencing of interferon signaling
This article has 11 authors:Reviewed by ScreenIT
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Neutralization of SARS-CoV-2 variants by convalescent and BNT162b2 vaccinated serum
This article has 19 authors:Reviewed by ScreenIT
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Baseline T cell immune phenotypes predict virologic and disease control upon SARS-CoV infection in Collaborative Cross mice
This article has 15 authors:Reviewed by ScreenIT
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Knowledge and Impact of COVID-19 on Middle-Aged and Older People living with HIV in Lima, Peru
This article has 8 authors:Reviewed by ScreenIT
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Reliability of Spike Gene Target Failure for ascertaining SARS-CoV-2 lineage B.1.1.7 prevalence in a hospital setting
This article has 8 authors:Reviewed by ScreenIT