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.

About Followers

Latest preprint reviews

  1. Genetic variability in the expression of the SARS-CoV-2 host cell entry factors across populations

    1. Lourdes Ortiz-Fernández
    2. Amr H Sawalha

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Comparative in vitro transcriptomic analyses of COVID-19 candidate therapy hydroxychloroquine suggest limited immunomodulatory evidence of SARS-CoV-2 host response genes

    1. Michael J. Corley
    2. Christopher Sugai
    3. Michael Schotsaert
    4. Robert E. Schwartz
    5. Lishomwa C. Ndhlovu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. ACE 2 Coding Variants: A Potential X-linked Risk Factor for COVID-19 Disease

    1. William T. Gibson
    2. Daniel M Evans
    3. Jianghong An
    4. Steven JM Jones

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. CoV Genome Tracker: tracing genomic footprints of Covid-19 pandemic

    1. Saymon Akther
    2. Edgaras Bezrucenkovas
    3. Brian Sulkow
    4. Christopher Panlasigui
    5. Li Li
    6. Weigang Qiu
    7. Lia Di

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. The origin and underlying driving forces of the SARS-CoV-2 outbreak

    1. Shu-Miaw Chaw
    2. Jui-Hung Tai
    3. Shi-Lun Chen
    4. Chia-Hung Hsieh
    5. Sui-Yuan Chang
    6. Shiou-Hwei Yeh
    7. Wei-Shiung Yang
    8. Pei-Jer Chen
    9. Hurng-Yi Wang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. High-surety isothermal amplification and detection of SARS-CoV-2, including with crude enzymes

    1. Sanchita Bhadra
    2. Timothy E. Riedel
    3. Simren Lakhotia
    4. Nicholas D. Tran
    5. Andrew D. Ellington

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Single Nucleus Multiomic Profiling Reveals Age-Dynamic Regulation of Host Genes Associated with SARS-CoV-2 Infection

    1. Allen Wang
    2. Joshua Chiou
    3. Olivier B Poirion
    4. Justin Buchanan
    5. Michael J Valdez
    6. Jamie M Verheyden
    7. Xiaomeng Hou
    8. Minzhe Guo
    9. Jacklyn M Newsome
    10. Parul Kudtarkar
    11. Dina A Faddah
    12. Kai Zhang
    13. Randee E Young
    14. Justinn Barr
    15. Ravi Misra
    16. Heidie Huyck
    17. Lisa Rogers
    18. Cory Poole
    19. Jeffery A. Whitsett
    20. Gloria Pryhuber
    21. Yan Xu
    22. Kyle J Gaulton
    23. Sebastian Preissl
    24. Xin Sun
    25. NHLBI LungMap Consortium

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Bioinformatic characterization of angiotensin-converting enzyme 2, the entry receptor for SARS-CoV-2

    1. Harlan Barker
    2. Seppo Parkkila

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Rapid, large-scale, and effective detection of COVID-19 via non-adaptive testing

    1. Matthias Täufer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Immunoinformatics characterization of SARS-CoV-2 spike glycoprotein for prioritization of epitope based multivalent peptide vaccine

    1. Saba Ismail
    2. Sajjad Ahmad
    3. Syed Sikander Azam

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
Newer Page 345 of 2361 Older