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Computational Virology

Overview of attention for book
Computational Virology
Springer US

Table of Contents

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    Book Overview
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    Chapter 1 Bioinformatic Identification of Viral Genomes from High-Throughput Metagenomic Sequencing Data.
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    Chapter 4 Functional Insights Through Gene Ontology, Disease Ontology, and KEGG Pathway Enrichment.
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    Chapter 5 Bipartite Graph Analysis of the Virus-Host Protein Interaction Network to Identify Key Proteins Mediating the Infection.
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    Chapter 6 Computational Approach for Detection and Analysis of Human-Virus Protein-Protein Interactions.
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    Chapter 7 Exploring Virus Taxonomy, Nomenclature, and Classification.
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    Chapter 8 BV-BRC Zoonosis or Reverse Zoonosis Example.
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    Chapter 9 Exploring Virus Protein Domains: Detection and Evolutionary Insights.
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    Chapter 10 Scalable Epidemic Simulation Using FAVITES-Lite.
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    Chapter 11 Generative Artificial Intelligence for Virology.
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    Chapter 12 Deciphering Genomic Complexity: The Role of Explainable AI in Evolutionary Genomics.
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    Chapter 13 Next-Generation Sequencing in Viral Diagnosis.
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    Chapter 15 Targeting Key Stages of the Viral Entry and Life Cycle: A Comprehensive Overview of the Mechanisms of Antiviral Actions.
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    Chapter 16 A Python-Based Workflow for Computing and Extracting Drug-Like Compounds from PubChem.
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    Chapter 17 Identifying Communities in the Virus-Host Protein-Protein Interaction Networks.
Attention for Chapter 12: Deciphering Genomic Complexity: The Role of Explainable AI in Evolutionary Genomics.
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