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
-
Face mask use and associated factors among students in rural Eastern Uganda amidst the COVID-19 pandemic
This article has 7 authors:Reviewed by ScreenIT
-
Early detection of SARS-CoV-2 in circulating immune cells in a mouse model
This article has 4 authors:Reviewed by ScreenIT
-
Impact of natural selection on global patterns of genetic variation and association with clinical phenotypes at genes involved in SARS-CoV-2 infection
This article has 80 authors:Reviewed by ScreenIT
-
Clofoctol inhibits SARS-CoV-2 replication and reduces lung pathology in mice
This article has 28 authors:Reviewed by ScreenIT
-
The SARS-CoV-2 host cell membrane fusion protein TMPRSS2 is a tumor suppressor and its downregulation correlates with increased antitumor immunity and immunotherapy response in lung adenocarcinoma
This article has 4 authors:Reviewed by ScreenIT
-
Epitope order Matters in multi-epitope-based peptide (MEBP) vaccine design: An in silico study
This article has 3 authors:Reviewed by ScreenIT
-
Detection of potential new SARS-CoV-2 Gamma-related lineage in Tocantins shows the spread and ongoing evolution of P.1 in Brazil
This article has 15 authors:Reviewed by ScreenIT
-
Comparative Computational Modeling of the Bat and Human Immune Response to Viral Infection with the Comparative Biology Immune Agent Based Model
This article has 2 authors:Reviewed by ScreenIT
-
Highly Neutralizing COVID-19 Convalescent Plasmas Potently Block SARS-CoV-2 Replication and Pneumonia in Syrian Hamsters
This article has 14 authors:Reviewed by ScreenIT
-
ER-export and ARFRP1/AP-1–dependent delivery of SARS-CoV-2 Envelope to lysosomes controls late stages of viral replication
This article has 6 authors:Reviewed by ScreenIT