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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The Use of Adjuvant Therapy in Preventing Progression to Severe Pneumonia in Patients with Coronavirus Disease 2019: A Multicenter Data Analysis
This article has 15 authors:Reviewed by ScreenIT
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What are the risk factors of hospital length of stay in the novel coronavirus pneumonia (COVID-19) patients? A survival analysis in southwest China
This article has 19 authors:Reviewed by ScreenIT
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Recent update on COVID-19 in India: Is locking down the country enough?
This article has 3 authors:Reviewed by ScreenIT
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A Highly Scalable and Rapidly Deployable RNA Extraction-Free COVID-19 Assay by Quantitative Sanger Sequencing
This article has 4 authors:Reviewed by ScreenIT
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Type 2 and interferon inflammation regulate SARS-CoV-2 entry factor expression in the airway epithelium
This article has 28 authors:Reviewed by ScreenIT
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Rapid in silico design of antibodies targeting SARS-CoV-2 using machine learning and supercomputing
This article has 5 authors:Reviewed by ScreenIT
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On the interactions of the receptor-binding domain of SARS-CoV-1 and SARS-CoV-2 spike proteins with monoclonal antibodies and the receptor ACE2
This article has 3 authors:Reviewed by ScreenIT
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Optimization of SARS-CoV-2 detection by RT-QPCR without RNA extraction
This article has 8 authors:Reviewed by ScreenIT
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BioLaboro: A bioinformatics system for detecting molecular assay signature erosion and designing new assays in response to emerging and reemerging pathogens
This article has 10 authors:Reviewed by ScreenIT
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The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) envelope (E) protein harbors a conserved BH3-like sequence
This article has 6 authors:Reviewed by ScreenIT