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. Deep phenotyping of 34,128 adult patients hospitalised with COVID-19 in an international network study

    1. Edward Burn
    2. Seng Chan You
    3. Anthony G. Sena
    4. Kristin Kostka
    5. Hamed Abedtash
    6. Maria Tereza F. Abrahão
    7. Amanda Alberga
    8. Heba Alghoul
    9. Osaid Alser
    10. Thamir M. Alshammari
    11. Maria Aragon
    12. Carlos Areia
    13. Juan M. Banda
    14. Jaehyeong Cho
    15. Aedin C. Culhane
    16. Alexander Davydov
    17. Frank J. DeFalco
    18. Talita Duarte-Salles
    19. Scott DuVall
    20. Thomas Falconer
    21. Sergio Fernandez-Bertolin
    22. Weihua Gao
    23. Asieh Golozar
    24. Jill Hardin
    25. George Hripcsak
    26. Vojtech Huser
    27. Hokyun Jeon
    28. Yonghua Jing
    29. Chi Young Jung
    30. Benjamin Skov Kaas-Hansen
    31. Denys Kaduk
    32. Seamus Kent
    33. Yeesuk Kim
    34. Spyros Kolovos
    35. Jennifer C. E. Lane
    36. Hyejin Lee
    37. Kristine E. Lynch
    38. Rupa Makadia
    39. Michael E. Matheny
    40. Paras P. Mehta
    41. Daniel R. Morales
    42. Karthik Natarajan
    43. Fredrik Nyberg
    44. Anna Ostropolets
    45. Rae Woong Park
    46. Jimyung Park
    47. Jose D. Posada
    48. Albert Prats-Uribe
    49. Gowtham Rao
    50. Christian Reich
    51. Yeunsook Rho
    52. Peter Rijnbeek
    53. Lisa M. Schilling
    54. Martijn Schuemie
    55. Nigam H. Shah
    56. Azza Shoaibi
    57. Seokyoung Song
    58. Matthew Spotnitz
    59. Marc A. Suchard
    60. Joel N. Swerdel
    61. David Vizcaya
    62. Salvatore Volpe
    63. Haini Wen
    64. Andrew E. Williams
    65. Belay B. Yimer
    66. Lin Zhang
    67. Oleg Zhuk
    68. Daniel Prieto-Alhambra
    69. Patrick Ryan

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. SARS-CoV-2 productively infects human gut enterocytes

    1. Mart M. Lamers
    2. Joep Beumer
    3. Jelte van der Vaart
    4. Kèvin Knoops
    5. Jens Puschhof
    6. Tim I. Breugem
    7. Raimond B. G. Ravelli
    8. J. Paul van Schayck
    9. Anna Z. Mykytyn
    10. Hans Q. Duimel
    11. Elly van Donselaar
    12. Samra Riesebosch
    13. Helma J. H. Kuijpers
    14. Debby Schipper
    15. Willine J. van de Wetering
    16. Miranda de Graaf
    17. Marion Koopmans
    18. Edwin Cuppen
    19. Peter J. Peters
    20. Bart L. Haagmans
    21. Hans Clevers

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. MINERVA: A Facile Strategy for SARS-CoV-2 Whole-Genome Deep Sequencing of Clinical Samples

    1. Chen Chen
    2. Jizhou Li
    3. Lin Di
    4. Qiuyu Jing
    5. Pengcheng Du
    6. Chuan Song
    7. Jiarui Li
    8. Qiong Li
    9. Yunlong Cao
    10. X. Sunney Xie
    11. Angela R. Wu
    12. Hui Zeng
    13. Yanyi Huang
    14. Jianbin Wang

    Reviewed by ScreenIT, preLights

    2 evaluationsAppears in 2 listsLatest version Latest activity

  4. CoV2ID: Detection and Therapeutics Oligo Database for SARS-CoV-2

    1. João Carneiro
    2. Catarina Gomes
    3. Cátia Couto
    4. Filipe Pereira

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Consensus transcriptional regulatory networks of coronavirus-infected human cells

    1. Scott A. Ochsner
    2. Rudolf T. Pillich
    3. Neil J. McKenna

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. eCovSens-Ultrasensitive Novel In-House Built Printed Circuit Board Based Electrochemical Device for Rapid Detection of nCovid-19 antigen, a spike protein domain 1 of SARS-CoV-2

    1. Subhasis Mahari
    2. Akanksha Roberts
    3. Deepshikha Shahdeo
    4. Sonu Gandhi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. The coronavirus proofreading exoribonuclease mediates extensive viral recombination

    1. Jennifer Gribble
    2. Laura J. Stevens
    3. Maria L. Agostini
    4. Jordan Anderson-Daniels
    5. James D. Chappell
    6. Xiaotao Lu
    7. Andrea J. Pruijssers
    8. Andrew L. Routh
    9. Mark R. Denison

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. A library of nucleotide analogues terminate RNA synthesis catalyzed by polymerases of coronaviruses that cause SARS and COVID-19

    1. Steffen Jockusch
    2. Chuanjuan Tao
    3. Xiaoxu Li
    4. Thomas K. Anderson
    5. Minchen Chien
    6. Shiv Kumar
    7. James J. Russo
    8. Robert N. Kirchdoerfer
    9. Jingyue Ju

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Antibody Tests in Detecting SARS-CoV-2 Infection: A Meta-Analysis

    1. Panagiota I. Kontou
    2. Georgia G. Braliou
    3. Niki L. Dimou
    4. Georgios Nikolopoulos
    5. Pantelis G. Bagos

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. The spatio-temporal epidemic dynamics of COVID-19 outbreak in Africa

    1. Ezra Gayawan
    2. Olawale Awe
    3. Bamidele M Oseni
    4. Ikemefuna C. Uzochukwu
    5. Adeshina Adekunle
    6. Gbemisola Samuel
    7. Damon P Eisen
    8. Oyelola A Adegboye

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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