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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Evaluating growth pattern and assessing future scenario of COVID-19 epidemic of India
This article has 2 authors:Reviewed by ScreenIT
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Estimation of the epidemic properties of the 2019 novel coronavirus: A mathematical modeling study
This article has 13 authors:Reviewed by ScreenIT
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Unification of the M/ORF3-related proteins points to a diversified role for ion conductance in pathogenesis of coronaviruses and other nidoviruses
This article has 6 authors:Reviewed by ScreenIT
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Switched and unswitched memory B cells detected during SARS-CoV-2 convalescence correlate with limited symptom duration
This article has 9 authors:Reviewed by ScreenIT
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A control framework to optimize public health policies in the course of the COVID-19 pandemic
This article has 11 authors:Reviewed by ScreenIT
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ACE2-targeting monoclonal antibody as potent and broad-spectrum coronavirus blocker
This article has 17 authors:Reviewed by ScreenIT
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Ruling the roost: Avian species reclaim urban habitat during India's COVID-19 lockdown
This article has 2 authors:Reviewed by ScreenIT
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Characterization of a novel, low-cost, scalable ozone gas system for sterilization of N95 respirators and other COVID-19 related use cases.
This article has 14 authors:Reviewed by ScreenIT
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IFN signaling and neutrophil degranulation transcriptional signatures are induced during SARS-CoV-2 infection
This article has 16 authors:Reviewed by ScreenIT
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ACoRE: Accurate SARS-CoV-2 genome reconstruction for the characterization of intra-host and inter-host viral diversity in clinical samples and for the evaluation of re-infections
This article has 21 authors:Reviewed by ScreenIT