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. In silico detection of SARS-CoV-2 specific B-cell epitopes and validation in ELISA for serological diagnosis of COVID-19

    1. Isabelle Q. Phan
    2. Sandhya Subramanian
    3. David Kim
    4. Lauren Carter
    5. Neil King
    6. Ivan Anishchenko
    7. Lynn K. Barrett
    8. Justin Craig
    9. Logan Tillery
    10. Roger Shek
    11. Whitney E. Harrington
    12. David M. Koelle
    13. Anna Wald
    14. Jim Boonyaratanakornkit
    15. Nina Isoherranen
    16. Alexander L. Greninger
    17. Keith R. Jerome
    18. Helen Chu
    19. Bart Staker
    20. Lance Stewart
    21. Peter J. Myler
    22. Wesley C. Van Voorhis

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Lung epithelial stem cells express SARS-CoV-2 entry factors: implications for COVID-19

    1. Anna A. Valyaeva
    2. Anastasia A. Zharikova
    3. Artem S. Kasianov
    4. Yegor S. Vassetzky
    5. Eugene V. Sheval

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Biophysical modeling of the SARS-CoV-2 viral cycle reveals ideal antiviral targets

    1. Brian T. Castle
    2. Carissa Dock
    3. Mahya Hemmat
    4. Susan Kline
    5. Christopher Tignanelli
    6. Radha Rajasingham
    7. David Masopust
    8. Paolo Provenzano
    9. Ryan Langlois
    10. Timothy Schacker
    11. Ashley Haase
    12. David J. Odde

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Intestinal Inflammation Modulates the Expression of ACE2 and TMPRSS2 and Potentially Overlaps With the Pathogenesis of SARS-CoV-2–related Disease

    1. Mayte Suárez-Fariñas
    2. Minami Tokuyama
    3. Gabrielle Wei
    4. Ruiqi Huang
    5. Alexandra Livanos
    6. Divya Jha
    7. Anais Levescot
    8. Haritz Irizar
    9. Roman Kosoy
    10. Sascha Cording
    11. Wenhui Wang
    12. Bojan Losic
    13. Ryan C. Ungaro
    14. Antonio Di’Narzo
    15. Gustavo Martinez-Delgado
    16. Maria Suprun
    17. Michael J. Corley
    18. Aleksandar Stojmirovic
    19. Sander M. Houten
    20. Lauren Peters
    21. Mark Curran
    22. Carrie Brodmerkel
    23. Jacqueline Perrigoue
    24. Joshua R. Friedman
    25. Ke Hao
    26. Eric E. Schadt
    27. Jun Zhu
    28. Huaibin M. Ko
    29. Judy Cho
    30. Marla C. Dubinsky
    31. Bruce E. Sands
    32. Lishomwa Ndhlovu
    33. Nadine Cerf-Bensusan
    34. Andrew Kasarskis
    35. Jean-Frederic Colombel
    36. Noam Harpaz
    37. Carmen Argmann
    38. Saurabh Mehandru

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Deep immune profiling of COVID-19 patients reveals patient heterogeneity and distinct immunotypes with implications for therapeutic interventions

    1. Divij Mathew
    2. Josephine R. Giles
    3. Amy E. Baxter
    4. Allison R. Greenplate
    5. Jennifer E. Wu
    6. Cécile Alanio
    7. Derek A. Oldridge
    8. Leticia Kuri-Cervantes
    9. M. Betina Pampena
    10. Kurt D’Andrea
    11. Sasikanth Manne
    12. Zeyu Chen
    13. Yinghui Jane Huang
    14. John P. Reilly
    15. Ariel R Weisman
    16. Caroline A.G. Ittner
    17. Oliva Kuthuru
    18. Jeanette Dougherty
    19. Kito Nzingha
    20. Nicholas Han
    21. Justin Kim
    22. Ajinkya Pattekar
    23. Eileen C. Goodwin
    24. Elizabeth M. Anderson
    25. Madison E. Weirick
    26. Sigrid Gouma
    27. Claudia P. Arevalo
    28. Marcus J. Bolton
    29. Fang Chen
    30. Simon F. Lacey
    31. Scott E. Hensley
    32. Sokratis Apostolidis
    33. Alexander C. Huang
    34. Laura A. Vella
    35. The UPenn COVID Processing Unit
    36. Michael R. Betts
    37. Nuala J. Meyer
    38. E. John Wherry

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. The emergence of SARS-CoV-2 in Europe and the US

    1. Michael Worobey
    2. Jonathan Pekar
    3. Brendan B. Larsen
    4. Martha I. Nelson
    5. Verity Hill
    6. Jeffrey B. Joy
    7. Andrew Rambaut
    8. Marc A. Suchard
    9. Joel O. Wertheim
    10. Philippe Lemey

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Modeling the COVID-19 outbreak in Ecuador: Is it the right time to lift social distancing containment measures?

    1. Miguel Reina Ortiz
    2. Vinita Sharma

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Quantification of SARS-CoV-2 and cross-assembly phage (crAssphage) from wastewater to monitor coronavirus transmission within communities

    1. Hyatt Green
    2. Maxwell Wilder
    3. Frank A. Middleton
    4. Mary Collins
    5. Ariana Fenty
    6. Karen Gentile
    7. Brittany Kmush
    8. Teng Zeng
    9. David Aaron Larsen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Data-driven inference of the reproduction number for COVID-19 before and after interventions for 51 European countries

    1. Petr Karnakov
    2. Georgios Arampatzis
    3. Ivica Kičić
    4. Fabian Wermelinger
    5. Daniel Wälchli
    6. Costas Papadimitriou
    7. Petros Koumoutsakos

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Time dynamics of COVID-19

    1. Cody Carroll
    2. Satarupa Bhattacharjee
    3. Yaqing Chen
    4. Paromita Dubey
    5. Jianing Fan
    6. Álvaro Gajardo
    7. Xiner Zhou
    8. Hans-Georg Müller
    9. Jane-Ling Wang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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