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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CoronaHiT: High throughput sequencing of SARS-CoV-2 genomes
This article has 29 authors:Reviewed by ScreenIT
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Lung expression of genes putatively involved in SARS-CoV-2 infection is modulated in cis by germline variants
This article has 4 authors:Reviewed by ScreenIT
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Intestinal Receptor of SARS-CoV-2 in Inflamed IBD Tissue Seems Downregulated by HNF4A in Ileum and Upregulated by Interferon Regulating Factors in Colon
This article has 10 authors:Reviewed by ScreenIT
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Development of a Fluorescence-Based, High-Throughput SARS-CoV-2 3CL pro Reporter Assay
This article has 3 authors:Reviewed by ScreenIT
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The SARS-CoV-2 receptor, angiotensin-converting enzyme 2, is required for human endometrial stromal cell decidualization†
This article has 4 authors:Reviewed by ScreenIT
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Comparative transcriptome analyses reveal genes associated with SARS-CoV-2 infection of human lung epithelial cells
This article has 4 authors:Reviewed by ScreenIT
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Evaluation of Different PCR Assay Formats for Sensitive and Specific Detection of SARS-CoV-2 RNA
This article has 4 authors:Reviewed by ScreenIT
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Stroke increases the expression of ACE2, the SARS-CoV-2 binding receptor, in murine lungs
This article has 9 authors:Reviewed by ScreenIT
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In silico Identification of Conserved cis -acting Rna Elements in the SARS-CoV-2 Genome
This article has 1 author:Reviewed by ScreenIT
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Synthetic Heparan Sulfate Mimetic Pixatimod (PG545) Potently Inhibits SARS-CoV-2 by Disrupting the Spike–ACE2 Interaction
This article has 42 authors:Reviewed by ScreenIT