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. The first report of the prevalence of COVID-19 in Chronic myelogenous leukemia patients in the core epidemic area of China: multicentre, cross-sectional survey

    1. Dan-Yu Wang
    2. Jing-Ming Guo
    3. Zhuang-Zhi Yang
    4. Guo-Lin Yuan
    5. Li Meng
    6. Wei-Ming Li

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Impact of self-imposed prevention measures and short-term government-imposed social distancing on mitigating and delaying a COVID-19 epidemic: A modelling study

    1. Alexandra Teslya
    2. Thi Mui Pham
    3. Noortje G. Godijk
    4. Mirjam E. Kretzschmar
    5. Martin C. J. Bootsma
    6. Ganna Rozhnova

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Impact assessment of non-pharmaceutical interventions against coronavirus disease 2019 and influenza in Hong Kong: an observational study

    1. Benjamin J Cowling
    2. Sheikh Taslim Ali
    3. Tiffany W Y Ng
    4. Tim K Tsang
    5. Julian C M Li
    6. Min Whui Fong
    7. Qiuyan Liao
    8. Mike YW Kwan
    9. So Lun Lee
    10. Susan S Chiu
    11. Joseph T Wu
    12. Peng Wu
    13. Gabriel M Leung

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Structural and functional conservation of the programmed −1 ribosomal frameshift signal of SARS coronavirus 2 (SARS-CoV-2)

    1. Jamie A. Kelly
    2. Alexandra N. Olson
    3. Krishna Neupane
    4. Sneha Munshi
    5. Josue San Emeterio
    6. Lois Pollack
    7. Michael T. Woodside
    8. Jonathan D. Dinman

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Understanding COVID-19 via comparative analysis of dark proteomes of SARS-CoV-2, human SARS and bat SARS-like coronaviruses

    1. Rajanish Giri
    2. Taniya Bhardwaj
    3. Meenakshi Shegane
    4. Bhuvaneshwari R. Gehi
    5. Prateek Kumar
    6. Kundlik Gadhave
    7. Christopher J. Oldfield
    8. Vladimir N. Uversky

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. Classification and specific primer design for accurate detection of SARS-CoV-2 using deep learning

    1. Alejandro Lopez-Rincon
    2. Alberto Tonda
    3. Lucero Mendoza-Maldonado
    4. Daphne G. J. C. Mulders
    5. Richard Molenkamp
    6. Carmina A. Perez-Romero
    7. Eric Claassen
    8. Johan Garssen
    9. Aletta D. Kraneveld

    Reviewed by ScreenIT

    2 evaluationsAppears in 1 listLatest version Latest activity

  7. CD147-spike protein is a novel route for SARS-CoV-2 infection to host cells

    1. Ke Wang
    2. Wei Chen
    3. Zheng Zhang
    4. Yongqiang Deng
    5. Jian-Qi Lian
    6. Peng Du
    7. Ding Wei
    8. Yang Zhang
    9. Xiu-Xuan Sun
    10. Li Gong
    11. Xu Yang
    12. Lei He
    13. Lei Zhang
    14. Zhiwei Yang
    15. Jie-Jie Geng
    16. Ruo Chen
    17. Hai Zhang
    18. Bin Wang
    19. Yu-Meng Zhu
    20. Gang Nan
    21. Jian-Li Jiang
    22. Ling Li
    23. Jiao Wu
    24. Peng Lin
    25. Wan Huang
    26. Liangzhi Xie
    27. Zhao-Hui Zheng
    28. Kui Zhang
    29. Jin-Lin Miao
    30. Hong-Yong Cui
    31. Min Huang
    32. Jun Zhang
    33. Ling Fu
    34. Xiang-Min Yang
    35. Zhongpeng Zhao
    36. Shihui Sun
    37. Hongjing Gu
    38. Zhe Wang
    39. Chun-Fu Wang
    40. Yacheng Lu
    41. Ying-Ying Liu
    42. Qing-Yi Wang
    43. Huijie Bian
    44. Ping Zhu
    45. Zhi-Nan Chen

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Development of CRISPR as a prophylactic strategy to combat novel coronavirus and influenza

    1. Timothy R. Abbott
    2. Girija Dhamdhere
    3. Yanxia Liu
    4. Xueqiu Lin
    5. Laine Goudy
    6. Leiping Zeng
    7. Augustine Chemparathy
    8. Stephen Chmura
    9. Nicholas S. Heaton
    10. Robert Debs
    11. Tara Pande
    12. Drew Endy
    13. Marie La Russa
    14. David B. Lewis
    15. Lei S. Qi

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Ocular conjunctival inoculation of SARS-CoV-2 can cause mild COVID-19 in rhesus macaques

    1. Wei Deng
    2. Linlin Bao
    3. Hong Gao
    4. Zhiguang Xiang
    5. Yajin Qu
    6. Zhiqi Song
    7. Shuran Gong
    8. Jiayi Liu
    9. Jiangning Liu
    10. Pin Yu
    11. Feifei Qi
    12. Yanfeng Xu
    13. Fengli Li
    14. Chong Xiao
    15. Qi Lv
    16. Jing Xue
    17. Qiang Wei
    18. Mingya Liu
    19. Guanpeng Wang
    20. Shunyi Wang
    21. Haisheng Yu
    22. Ting Chen
    23. Xing Liu
    24. Wenjie Zhao
    25. Yunlin Han
    26. Chuan Qin

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Highly sensitive and full-genome interrogation of SARS-CoV-2 using multiplexed PCR enrichment followed by next-generation sequencing

    1. Chenyu Li
    2. David N. Debruyne
    3. Julia Spencer
    4. Vidushi Kapoor
    5. Lily Y. Liu
    6. Bo Zhou
    7. Utsav Pandey
    8. Moiz Bootwalla
    9. Dejerianne Ostrow
    10. Dennis T Maglinte
    11. David Ruble
    12. Alex Ryutov
    13. Lishuang Shen
    14. Lucie Lee
    15. Rounak Feigelman
    16. Grayson Burdon
    17. Jeffrey Liu
    18. Alejandra Oliva
    19. Adam Borcherding
    20. Hongdong Tan
    21. Alexander E. Urban
    22. Xiaowu Gai
    23. Jennifer Dien Bard
    24. Guoying Liu
    25. Zhitong Liu

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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