ArticleCurrent research in microbial sciences2021
A next generation sequencing (NGS) analysis to reveal genomic and proteomic mutation landscapes of SARS-CoV-2 in South Asia.
Article in Current research in microbial sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
6 citing papers in PubMed.
- Assessing SARS-CoV-2 Rare Mutations and Transmission in New York City by NGS.Microorganisms · 2025Article
- Genomic and Phylogenetic Characterisation of SARS-CoV-2 Genomes Isolated in Patients from Lambayeque Region, Peru.Tropical medicine and infectious disease · 2024Article
- Comparison of Circulating Variants during the Beginning, Middle and the End of the 4th Wave of COVID-19 in Tehran Province, Iran in 2021.Iranian journal of public health · 2023Article
- Genomic Mutations in SARS-CoV-2 Genome following Infection in Syrian Golden Hamster and Associated Lung Pathologies.Pathogens (Basel, Switzerland) · 2023Article
- Missense mutations in spike protein of SARS-CoV-2 delta variant contribute to the alteration in viral structure and interaction with hACE2 receptor.Immunity, inflammation and disease · 2022Article
- Molecular characteristics, immune evasion, and impact of SARS-CoV-2 variants.Signal transduction and targeted therapy · 2022Review
Corrections and comments
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Authors and funding
6 authors.
Funding
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Abstract
Counts for SARS-CoV-2 associated infections and fatalities are on the rise globally even in regions which contained the spread momentarily. The pattern of infections has been found to be controlled by the distinctive selection pressures exerted by fluctuating environmental nature and hosts. A total of 410 whole-genome sequences submitted by the South Asian countries were retrieved from the GISAID database and analyzed to assess the impact and pattern of mutations in this region. Most common and frequent mutations in the South Asian countries are 241C >
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