Bioinformatics

  1. Comprehensive analysis of next-generation sequencing data in COVID-19 and its secondary complications

    1. Muttanagouda Giriyappagoudar
    2. Basavaraj Vastrad
    3. Rajeshwari Horakeri
    4. Chanabasayya Vastrad

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. Sentinel Cards Provide Practical SARS-CoV-2 Monitoring in School Settings

    1. Victor J. Cantú
    2. Karenina Sanders
    3. Pedro Belda-Ferre
    4. Rodolfo A. Salido
    5. Rebecca Tsai
    6. Brett Austin
    7. William Jordan
    8. Menka Asudani
    9. Amanda Walster
    10. Celestine G. Magallanes
    11. Holly Valentine
    12. Araz Manjoonian
    13. Carrissa Wijaya
    14. Vinton Omaleki
    15. Stefan Aigner
    16. Nathan A. Baer
    17. Maryann Betty
    18. Anelizze Castro-Martínez
    19. Willi Cheung
    20. Peter De Hoff
    21. Emily Eisner
    22. Abbas Hakim
    23. Alma L. Lastrella
    24. Elijah S. Lawrence
    25. Toan T. Ngo
    26. Tyler Ostrander
    27. Ashley Plascencia
    28. Shashank Sathe
    29. Elizabeth W. Smoot
    30. Aaron F. Carlin
    31. Gene W. Yeo
    32. Louise C. Laurent
    33. Anna Liza Manlutac
    34. Rebecca Fielding-Miller
    35. Rob Knight

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. ImmunoTyper-SR: A computational approach for genotyping immunoglobulin heavy chain variable genes using short-read data

    1. Michael K.B. Ford
    2. Ananth Hari
    3. Oscar Rodriguez
    4. Junyan Xu
    5. Justin Lack
    6. Cihan Oguz
    7. Yu Zhang
    8. Andrew J. Oler
    9. Ottavia M. Delmonte
    10. Sarah E. Weber
    11. Mary Magliocco
    12. Jason Barnett
    13. Sandhya Xirasagar
    14. Smilee Samuel
    15. Luisa Imberti
    16. Paolo Bonfanti
    17. Andrea Biondi
    18. Clifton L. Dalgard
    19. Stephen Chanock
    20. Lindsey B. Rosen
    21. Steven M. Holland
    22. Helen C. Su
    23. Luigi D. Notarangelo
    24. Kerry Dobbs
    25. Elana Shaw
    26. Miranda F. Tompkins
    27. Camille Alba
    28. Adelani Adeleye
    29. Samuel Li
    30. Jingwen Gu
    31. Uzi Vishkin
    32. Corey T. Watson
    33. S. Cenk Sahinalp

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Mapping the Evolutionary Space of SARS-CoV-2 Variants to Anticipate Emergence of Subvariants Resistant to COVID-19 Therapeutics

    1. Roberth Anthony Rojas Chávez
    2. Mohammad Fili
    3. Changze Han
    4. Syed A. Rahman
    5. Isaiah G. L. Bicar
    6. Sullivan Gregory
    7. Annika Helverson
    8. Guiping Hu
    9. Benjamin W. Darbro
    10. Jishnu Das
    11. Grant D. Brown
    12. Hillel Haim

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. Design and development of potent h-ACE2 derived peptide mimetics in SARS-CoV-2 Omicron variant therapeutics

    1. M. L. Stanly Paul
    2. Swathi Nadendla
    3. M Elizabeth Sobhia

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. In silico analysis of predicted differential MHC binding and CD8+ T-cell immune escape of SARS-CoV-2 B.1.1.529 variant mutant epitopes

    1. Pablo Riesgo-Ferreiro
    2. Ranganath Gudimella
    3. Thomas Bukur
    4. Patrick Sorn
    5. Thomas Rösler
    6. Barbara Schrörs
    7. Martin Löwer

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  7. Analysis of receptors responsible for the dysfunction of the human immune system by different viral infections

    1. Sergey M. Ivanov
    2. Olga A. Tarasova
    3. Vladimir V. Poroikov

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. Rapid, Reference-Free human genotype imputation with denoising autoencoders

    1. Raquel Dias
    2. Doug Evans
    3. Shang-Fu Chen
    4. Kai-Yu Chen
    5. Salvatore Loguercio
    6. Leslie Chan
    7. Ali Torkamani

    • Curated by eLife

      Evaluation Summary:

      The paper describes a novel neural-network-based strategy for imputing unmeasured genotypes, which is standard part of most association testing pipelines. The method, while computationally intensive to train, can perform the imputation quickly and conveniently, and has the potential to be a practically-appealing alternative to existing methods. However, further work will be required to realize this potential, and further data are required to support the accuracy of the method.

      (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. The reviewers remained anonymous to the authors.)

    Reviewed by eLife

    7 evaluationsAppears in 1 listLatest version Latest activity

  9. SARS-CoV-2 Omicron Variant AI-based Primers

    1. Carmina A. Perez-Romero
    2. Alberto Tonda
    3. Lucero Mendoza-Maldonado
    4. John MacSharry
    5. Joanna Szafran
    6. Eric Claassen
    7. Johan Garssen
    8. Aletta D. Kraneveld
    9. Alejandro Lopez-Rincon

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Template-based design of peptides to inhibit SARS-CoV-2 RNA-dependent RNA polymerase complexation

    1. Akshay Chenna
    2. Wajihul H Khan
    3. Rozaleen Dash
    4. Anurag S Rathore
    5. Gaurav Goel

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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