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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Finding disease modules for cancer and COVID-19 in gene co-expression networks with the Core&Peel method
This article has 2 authors:Reviewed by ScreenIT
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Mouse model of SARS-CoV-2 reveals inflammatory role of type I interferon signaling
This article has 13 authors:Reviewed by ScreenIT
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Crystallographic and electrophilic fragment screening of the SARS-CoV-2 main protease
This article has 34 authors:Reviewed by ScreenIT
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Morphological Cell Profiling of SARS-CoV-2 Infection Identifies Drug Repurposing Candidates for COVID-19
This article has 20 authors:Reviewed by ScreenIT
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Angiotensin-converting enzyme 2, a SARS-CoV-2 receptor, is upregulated by interleukin-6 via STAT3 signaling in rheumatoid synovium
This article has 4 authors:Reviewed by ScreenIT
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Differentiating COVID-19 from other types of pneumonia with convolutional neural networks
This article has 3 authors:Reviewed by ScreenIT
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Enantiomers of Chloroquine and Hydroxychloroquine Exhibit Different Activities Against SARS-CoV-2 in vitro , Evidencing S -Hydroxychloroquine as a Potentially Superior Drug for COVID-19
This article has 12 authors:Reviewed by ScreenIT
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The low‐harm score for predicting mortality in patients diagnosed with COVID‐19: A multicentric validation study
This article has 19 authors:Reviewed by ScreenIT
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Single-cell RNA-seq and V(D)J profiling of immune cells in COVID-19 patients
This article has 18 authors:Reviewed by ScreenIT
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Combining fine-scale social contact data with epidemic modelling reveals interactions between contact tracing, quarantine, testing and physical distancing for controlling COVID-19
This article has 7 authors:Reviewed by ScreenIT