Bioinformatics

  1. Benchmarking the accuracy of structure‐based binding affinity predictors on Spike–ACE2 deep mutational interaction set

    1. Burcu Ozden
    2. Eda Şamiloğlu
    3. Atakan Özsan
    4. Mehmet Erguven
    5. Can Yükrük
    6. Mehdi Koşaca
    7. Melis Oktayoğlu
    8. Muratcan Menteş
    9. Nazmiye Arslan
    10. Gökhan Karakülah
    11. Ayşe Berçin Barlas
    12. Büşra Savaş
    13. Ezgi Karaca

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  2. This is GlycoQL

    1. Catherine Hayes
    2. Vincenzo Daponte
    3. Julien Mariethoz
    4. Frederique Lisacek

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  3. Model evolution in SARS-CoV-2 spike protein sequences using a generative neural network

    1. Anup Kumar

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  4. Subtyping of major SARS-CoV-2 variants reveals different transmission dynamics based on 10 million genomes

    1. Hsin-Chou Yang
    2. Jen-Hung Wang
    3. Chih-Ting Yang
    4. Yin-Chun Lin
    5. Han-Ni Hsieh
    6. Po-Wen Chen
    7. Hsiao-Chi Liao
    8. Chun-houh Chen
    9. James C Liao

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  5. ViReMaShiny : an interactive application for analysis of viral recombination data

    1. Jason Yeung
    2. Andrew L Routh

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  6. GuideMaker: Software to design CRISPR-Cas guide RNA pools in non-model genomes

    1. Ravin Poudel
    2. Lidimarie Trujillo Rodriguez
    3. Christopher R Reisch
    4. Adam R Rivers

    Reviewed by GigaScience

    3 evaluationsAppears in 1 listLatest version Latest activity

  7. Time Series Analysis of SARS-CoV-2 Genomes and Correlations among Highly Prevalent Mutations

    1. Neha Periwal
    2. Shravan B. Rathod
    3. Sankritya Sarma
    4. Gundeep S. Johar
    5. Avantika Jain
    6. Ravi P. Barnwal
    7. Kinsukh R. Srivastava
    8. Baljeet Kaur
    9. Pooja Arora
    10. Vikas Sood

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  8. SEACells: Inference of transcriptional and epigenomic cellular states from single-cell genomics data

    1. Sitara Persad
    2. Zi-Ning Choo
    3. Christine Dien
    4. Ignas Masilionis
    5. Ronan Chaligné
    6. Tal Nawy
    7. Chrysothemis C Brown
    8. Itsik Pe’er
    9. Manu Setty
    10. Dana Pe’er

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  9. Prediction of infectivity of SARS-CoV2: Mathematical model with analysis of docking simulation for spike proteins and angiotensin-converting enzyme 2

    1. Yutaka Takaoka
    2. Aki Sugano
    3. Yoshitomo Morinaga
    4. Mika Ohta
    5. Kenji Miura
    6. Haruyuki Kataguchi
    7. Minoru Kumaoka
    8. Shigemi Kimura
    9. Yoshimasa Maniwa

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity

  10. Differential gene expression profiling reveals potential biomarkers and pharmacological compounds against SARS-CoV-2: insights from machine learning and bioinformatics approaches

    1. M. Nazmul Hoque
    2. Md. Arif Khan
    3. Md. Arju Hossain
    4. Md Imran Hasan
    5. Md Habibur Rahman
    6. Mahmoud E. Soliman
    7. Yusha Araf
    8. Chunfu Zheng
    9. Tofazzal Islam

    Reviewed by ScreenIT

    1 evaluationAppears in 1 listLatest version Latest activity
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