GVAtlas: Pioneering Genomic Variant Analysis and Visualization for SARS CoV 2 and Beyond
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IntroductionGVAtlas (Genomic Variants Atlas) is an innovative genomic surveillance platform developed by Tahir Hussain Bhatti (MSc. Molecular Biology) to track, analyze, and visualize SARS CoV 2 variants through a proprietary Variant Impact Scoring (VIS) system, a novel methodology absent in existing tools like Nextclade. Coined in 2020, GVAtlas and its VIS framework represent original contributions to genomic analysis, formalized here for the first time as a public record (Zenodo, June 20, 2025).Key FunctionalitiesProprietary Variant Impact Scoring (VIS):Original Work:Introduced by Tahir Hussain Bhatti in 2020, VIS is a first of its kind scoring system that quantifies the functional and clinical significance of SARS CoV 2 mutations, addressing gaps in tools limited to lineage tracking (e.g., Nextclade).ACE2 Binding Affinity Score:Scale: 0.0–1.0+ (Low/Moderate/High).Example: OY550408 (XBB.1.5.13) scores 1.012, indicating high transmissibility.Basis: Structural modeling and binding energy datasets.Immune Escape Score:Scale: 0.0–1.0+ (Low/Moderate/High).Example: OY550408 scores 0.948, signaling high evasion potential.Basis: Epitope mapping and neutralization assays.Differentiator:Unlike Nextclade’s descriptive mutation lists, VIS provides actionable, standardized metrics to prioritize variants for research and public health response.Claim to OriginalityThe term "GVAtlas" and its Variant Impact Scoring (VIS) system were conceptualized and developed solely by Tahir Hussain Bhatti, beginning in 2020. No existing platform (including Nextclade, GISAID, or NCBI tools) offers an equivalent scoring framework for mutation impact. This submission asserts priority over the name, methodology, and intellectual property of VIS, positioning GVAtlas as a transformative advance in genomic surveillance.Future DirectionsI will refine VIS via machine learning and experimental validation.I will Expand VIS to other pathogens, reinforcing GVAtlas’s role as a global standard for variant impact assessment.
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Publication Details
DOI
Publisher
Zenodo
Subfield
Molecular Biology
Field
Biochemistry, Genetics and Molecular Biology
Domain
Life Sciences
Confidence Score
55%
Source
Scholar Data Model