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Updated: Dec 14, 2025
High-throughput Detection Method for Influenza Virus
Published on: February 4, 2012
FluConvert and IniFlu: a suite of integrated software to identify novel signatures of emerging influenza viruses with
Chin-Rur Yang1, Chwan-Chuen King2, Li-Yu Daisy Liu3,4
1Institute of Immunology, College of Medicine, National Taiwan University (NTU), 1 Jen-Ai Road Section 1, Taipei, 10051, Taiwan, Republic of China.
Background:
The pandemic threat of influenza has attracted great attention worldwide. To assist public health decision-makers, new suites of tools are needed to rapidly process and combine viral information retrieved from public-domain databases for a better risk assessment.
Results:
Using our recently developed FluConvert and IniFlu software, we automatically processed and rearranged sequence data by standard viral nomenclature, determined the group-related consensus sequences, and identified group-specific polygenic signatures. The software possesses powerful ability to integrate viral, clinical, and epidemiological data. We demonstrated that both multiple basic amino acids at the cleavage site of the HA gene and also at least 11 more evidence-based viral amino acid substitutions present in global highly pathogenic avian influenza H5N2 viruses during the years 2009-2016 that are associated with viral virulence and human infection.
Conclusions:
FluConvert and IniFlu are useful to monitor and assess all subtypes of influenza viruses with pandemic potential. These programs are implemented through command-line and user-friendly graphical interfaces, and identify molecular signatures with virological, epidemiological and clinical significance. FluConvert and IniFlu are available at https://apps.flutures.com or https://github.com/chinrur/FluConvert_IniFlu.
