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
-
An epidemiologic profile of COVID-19 patients in Vietnam
This article has 2 authors:Reviewed by ScreenIT
-
Glycosaminoglycan binding motif at S1/S2 proteolytic cleavage site on spike glycoprotein may facilitate novel coronavirus (SARS-CoV-2) host cell entry
This article has 11 authors:Reviewed by ScreenIT
-
A transcription regulatory network within the ACE2 locus may promote a pro-viral environment for SARS-CoV-2 by modulating expression of host factors
This article has 12 authors:Reviewed by ScreenIT
-
De novo 3D models of SARS-CoV-2 RNA elements and small-molecule-binding RNAs to aid drug discovery
This article has 9 authors:Reviewed by ScreenIT
-
Relevance of SARS-CoV-2 related factors ACE2 and TMPRSS2 expressions in gastrointestinal tissue with pathogenesis of digestive symptoms, diabetes-associated mortality, and disease recurrence in COVID-19 patients
This article has 14 authors:Reviewed by ScreenIT
-
Humanized Single Domain Antibodies Neutralize SARS-CoV-2 by Targeting Spike Receptor Binding Domain
This article has 8 authors:Reviewed by ScreenIT
-
Genome based evolutionary lineage of SARS-CoV-2 towards the development of novel chimeric vaccine
This article has 9 authors:Reviewed by ScreenIT
-
Phylogenetic Analysis of the Novel Coronavirus Reveals Important Variants in Indian Strains
This article has 2 authors:Reviewed by ScreenIT
-
Genetic variability of human angiotensin‐converting enzyme 2 (hACE2) among various ethnic populations
This article has 3 authors:Reviewed by ScreenIT
-
Transfer learning with chest X-rays for ER patient classification
This article has 12 authors:Reviewed by ScreenIT