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. Impact of cobas PCR Media freezing on SARS-CoV-2 viral RNA integrity and whole genome sequencing analyses

    1. Patrick Benoit
    2. Floriane Point
    3. Simon Gagnon
    4. Daniel E. Kaufmann
    5. Cécile Tremblay
    6. Richard Paul Harrigan
    7. Isabelle Hardy
    8. François Coutlée
    9. Simon Grandjean Lapierre

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Rapid detection of SARS-CoV-2 variants by molecular-clamping technology-based RT-qPCR

    1. Shuo Shen
    2. Andrew Y. Fu
    3. Maidar Jamba
    4. Jonathan Li
    5. Zhen Cui
    6. Larry Pastor
    7. Daniel Cataldi
    8. Qing Sun
    9. Joseph A. Pathakamuri
    10. Daniel Kuebler
    11. Michael Rohall
    12. Madison Krohn
    13. Daniel Kissinger
    14. Jocelyn Neves
    15. Isaac Archibeque
    16. Aiguo Zhang
    17. Chuanyi M. Lu
    18. Michael Y. Sha

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Immune Correlates of Protection by mRNA-1273 Immunization against SARS-CoV-2 Infection in Nonhuman Primates

    1. Kizzmekia S. Corbett
    2. Martha C. Nason
    3. Britta Flach
    4. Matthew Gagne
    5. Sarah O’ Connell
    6. Timothy S. Johnston
    7. Shruti N. Shah
    8. Venkata Viswanadh Edara
    9. Katharine Floyd
    10. Lilin Lai
    11. Charlene McDanal
    12. Joseph R. Francica
    13. Barbara Flynn
    14. Kai Wu
    15. Angela Choi
    16. Matthew Koch
    17. Olubukola M. Abiona
    18. Anne P. Werner
    19. Gabriela S. Alvarado
    20. Shayne F. Andrew
    21. Mitzi M. Donaldson
    22. Jonathan Fintzi
    23. Dillon R. Flebbe
    24. Evan Lamb
    25. Amy T. Noe
    26. Saule T. Nurmukhambetova
    27. Samantha J. Provost
    28. Anthony Cook
    29. Alan Dodson
    30. Andrew Faudree
    31. Jack Greenhouse
    32. Swagata Kar
    33. Laurent Pessaint
    34. Maciel Porto
    35. Katelyn Steingrebe
    36. Daniel Valentin
    37. Serge Zouantcha
    38. Kevin W. Bock
    39. Mahnaz Minai
    40. Bianca M. Nagata
    41. Juan I. Moliva
    42. Renee van de Wetering
    43. Seyhan Boyoglu-Barnum
    44. Kwanyee Leung
    45. Wei Shi
    46. Eun Sung Yang
    47. Yi Zhang
    48. John-Paul M. Todd
    49. Lingshu Wang
    50. Hanne Andersen
    51. Kathryn E. Foulds
    52. Darin K. Edwards
    53. John R. Mascola
    54. Ian N. Moore
    55. Mark G. Lewis
    56. Andrea Carfi
    57. David Montefiori
    58. Mehul S. Suthar
    59. Adrian McDermott
    60. Nancy J. Sullivan
    61. Mario Roederer
    62. Daniel C. Douek
    63. Barney S. Graham
    64. Robert A. Seder

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Estimation of local time-varying reproduction numbers in noisy surveillance data

    1. Wenrui Li
    2. Katia Bulekova
    3. Brian Gregor
    4. Laura F. White
    5. Eric D. Kolaczyk

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Sialic acid-containing glycolipids mediate binding and viral entry of SARS-CoV-2

    1. Linh Nguyen
    2. Kelli A. McCord
    3. Duong T. Bui
    4. Kim M. Bouwman
    5. Elena N. Kitova
    6. Mohamed Elaish
    7. Dhanraj Kumawat
    8. Gour C. Daskhan
    9. Ilhan Tomris
    10. Ling Han
    11. Pradeep Chopra
    12. Tzu-Jing Yang
    13. Steven D. Willows
    14. Andrew L. Mason
    15. Lara K. Mahal
    16. Todd L. Lowary
    17. Lori J. West
    18. Shang-Te Danny Hsu
    19. Tom Hobman
    20. Stephen M. Tompkins
    21. Geert-Jan Boons
    22. Robert P. de Vries
    23. Matthew S. Macauley
    24. John S. Klassen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Association between comorbidities and death from COVID-19 in different age groups

    1. Pedro Emanuel Fleitas
    2. María Cristina Almazán
    3. Sabrina Daniela Cortez
    4. Jorge Augusto Paz
    5. Rubén Oscar Cimino
    6. Alejandro Javier Krolewiecki

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. High-resolution epigenome analysis in nasal samples derived from children with respiratory viral infections reveals striking changes upon SARS-CoV-2 infection

    1. Konner Winkley
    2. Boryana Koseva
    3. Dithi Banerjee
    4. Warren Cheung
    5. Rangaraj Selvarangan
    6. Tomi Pastinen
    7. Elin Grundberg

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Breaking down of healthcare system: Mathematical modelling for controlling the novel coronavirus (2019-nCoV) outbreak in Wuhan, China

    1. Wai-Kit Ming
    2. Jian Huang
    3. Casper J. P. Zhang

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Accessibility, inclusivity, and implementation of COVID-19 clinical management guidelines early in the pandemic: a global survey

    1. Caitlin Pilbeam
    2. Deborah Malden
    3. Katherine Newell
    4. Andrew Dagens
    5. Kalynn Kennon
    6. Melina Michelen
    7. Nina Gobat
    8. Louise Sigfrid

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Complexity in SARS-CoV-2 genome data: Price theory of mutant isolates

    1. Saurav Mandal
    2. R.K. Sanayaima Singh
    3. Saurabh Kumar Sharma
    4. Md. Zubbair Malik
    5. R.K. Brojen Singh

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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