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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Reduced replication but increased interferon resistance of SARS-CoV-2 Omicron BA.1
This article has 17 authors:Reviewed by ScreenIT
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Total virome characterizations of game animals in China reveals a spectrum of emerging viral pathogens
This article has 22 authors:Reviewed by ScreenIT
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Fibroblast-expressed LRRC15 suppresses SARS-CoV-2 infection and controls antiviral and antifibrotic transcriptional programs
This article has 22 authors:Reviewed by Rapid Reviews Infectious Diseases, ScreenIT
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#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol
This article has 52 authors:Reviewed by ScreenIT
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SARS-CoV-2 variants of concern remain dependent on IFITM2 for efficient replication in human lung cells
This article has 12 authors:Reviewed by ScreenIT
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A humanized nanobody phage display library yields potent binders of SARS CoV-2 spike
This article has 32 authors:Reviewed by ScreenIT
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Validation and Invalidation of SARS-CoV-2 Papain-like Protease Inhibitors
This article has 2 authors:Reviewed by ScreenIT
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Low selectivity index of ivermectin and macrocyclic lactones on SARS-CoV2 replication in vitro argues against their therapeutic use for COVID-19
This article has 11 authors:Reviewed by ScreenIT
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Underlying selection for the diversity of spike protein sequences of SARS‐CoV ‐2
This article has 3 authors:Reviewed by ScreenIT
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Tree-based Correlation Screen and Visualization for Exploring Phenotype-Cell Type Association in Multiple Sample Single-Cell RNA-Sequencing Experiments
This article has 3 authors:Reviewed by ScreenIT