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  5. Novel Minimal Absent Words Detected in Influenza A Virus

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Article
en
2025

Novel Minimal Absent Words Detected in Influenza A Virus

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0 Files

en
2025
Vol 17 (5)
Vol. 17
DOI: 10.3390/v17050659

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George Chrousos
George Chrousos

National And Kapodistrian University Of Athens

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Elif Zülal Bigiş
Elif Yıldız
Anna Tagka
+3 more

Abstract

Influenza is a communicable disease caused by RNA viruses. Strains A (affecting animals, humans), B (affecting humans), C (affecting rarely humans and pigs), and D (affecting cattle) comprise a variety of substrains each. Influenza A strain, affecting both humans and animals, is considered the most infectious, causing pandemics. There is an emerging need for the accurate classification of the different influenza A virus (IAV) subtypes, elucidating their mode of infection, as well as their fast and accurate diagnosis. Notably, in recent years, oligomeric sequences (words) that are present in the pathogen genomes and entirely absent from the host human genome were suggested to provide robust biomarkers for virus classification and rapid detection. To this end, we performed updated phylogenetic analyses of the IAV hemagglutinin genes, focusing on the sub H1N1 and H5N1. More importantly, we applied in silico methods to identify minimum length “words” that exist consistently in the IAV genomes and are entirely absent from the human genome; these sequences identified in our current analysis may represent minimal signatures that can be utilized to distinguish IAV from other influenza viruses, as well as to perform rapid diagnostic tests.

How to cite this publication

Elif Zülal Bigiş, Elif Yıldız, Anna Tagka, Athanasia Pavlopoulou, George Chrousos, Styliani Geronikolou (2025). Novel Minimal Absent Words Detected in Influenza A Virus. , 17(5), DOI: https://doi.org/10.3390/v17050659.

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Publication Details

Type

Article

Year

2025

Authors

6

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.3390/v17050659

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