Computational Virology

Bioinformatic Identification of Viral Genomes from High-Throughput Metagenomic Sequencing Data.- Studying Host Transcription Responses to Viral Infections: Transcriptome Assembly and Gene Expression Quantification Using Rsubread, HISAT2, and STAR with Public RNA-Seq Data.- Deciphering Host Differential Gene Expression in Viral Infections through Public RNA-Seq Data from NCBI-GEO.- Functional Insights through Gene Ontology, Disease Ontology, and KEGG Pathway Enrichment.- Bipartite Graph Analysis of the Virus-Host Protein Interaction Network to Identify Key Proteins Mediating Infection.- Computational Approach for Detection and Analysis of Human-Virus Protein-Protein Interactions.- Exploring Virus Taxonomy, Nomenclature, and Classification.- BV-BRC Zoonosis or Reverse Zoonosis Example.- Exploring Virus Protein Domains: Detection and Evolutionary Insights.- Scalable Epidemic Simulation Using FAVITES-Lite.- Generative Artificial Intelligence for Virology.- Deciphering Genomic Complexity: The Role of Explainable AI in Evolutionary Genomics.- Next Generation Sequencing in Viral Diagnosis.- Diverse Facets of Non-Human Sequences in Read Outputs of the Human Next-Generation Sequencing Data and Their Relevance with Viruses.- Targeting Key Stages of the Viral Entry and Life Cycle: A Comprehensive Overview of the Mechanisms of Antiviral Actions.- A Python-Based Workflow for Computing and Extracting Drug-Like Compounds from PubChem.- Identifying Communities in the Virus-Host Protein-Protein Interaction Networks.