ReviewVirologica Sinica2021
Progress and Challenge in Computational Identification of Influenza Virus Reassortment.
Review in Virologica Sinica, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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
4 citing papers in PubMed.
- Fast and accurate identification of emerging viral reassortment from genome sequences.Nucleic acids research · 2026Article
- K-FluDB: a novel K-mer-based database for enhanced genomic surveillance of Influenza A viruses.Bioinformatics advances · 2026Article
- Influenza virus reassortment patterns exhibit preference and continuity while uncovering cross-species transmission events.Briefings in bioinformatics · 2025Article
- Transmission restriction and genomic evolution co-shape the genetic diversity patterns of influenza A virus.Virologica Sinica · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genomic reassortment is an important evolutionary mechanism for influenza viruses. In this process, the novel viruses acquire new characteristics by the exchange of the intact gene segments among multiple influenza virus genomes, which may cause flu endemics and epidemics within or even across hosts. Due to the safety and ethical limitations of the experimental studies on influenza virus reassortment, numerous computational researches on the influenza virus reassortment have been done with the explosion of the influenza virus genomic data. A great amount of computational methods and bioinformatics databases were developed to facilitate the identification of influenza virus reassortments. In this review, we summarized the progress and challenge of the bioinformatics research on influenza virus reassortment, which can guide the researchers to investigate the influenza virus reassortment events reasonably and provide valuable insight to develop the related computational identification tools.
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Registered trials
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