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  • Internal Dataset

    Data from: SARS-CoV-2 Infections - Gene Expression Omnibus (GEO) Data Mining, Pathway Enrichment Analysis, and Prediction of Potentially Repurposable Drugs

    Authors
    • Chaparala, Srilakshmi
    • Iwema, Carrie L.
    • Chattopadhyay, Ansuman
    Description

    This project describes a protocol to analyze publicly available transcriptomic data from the NCBI Gene Expression Database (GEO) using in silico approach. This involved identifying SARS-CoV-2 infection-induced differentially Expressed (DE) genes from human gene mapping and viral mapping, statistically enriched pathway associations, and potentially repurposable drugs for COVID-19 treatment. Further...

    Keywords
    • COVID-19
    • Gene Expression Profiling
    • SARS-CoV-2
    • Sequence Analysis, RNA
    • Transcriptomics
    • Virus Diseases
    Access Rights
    Free to all