Detection of low-level HCV variants in DAA treated patients: comparison amongst three different NGS data analysis protocols.
Valeria CaputoRoberta Antonia DiottiEnzo BoeriHamid HassonMichela SampaoloElena CriscuoloSabrina BagaglioEmanuela MessinaCaterina Uberti-FoppaMatteo CastelliRoberto BurioniNicasio ManciniMassimo ClementiNicola ClementiPublished in: Virology journal (2020)
These results highlight the need to find a robust NGS data analysis method to standardize NGS results for a better comprehension of the clinical role of low-level HCV variants. Based on the extreme importance of data analysis approaches for wet-data interpretation, a detailed description of the used pipelines and further standardization of the in silico analysis could allow increasing diagnostic laboratory networking to unleash true potentials of NGS.
Keyphrases
- data analysis
- hepatitis c virus
- end stage renal disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- human immunodeficiency virus
- molecular docking
- machine learning
- patient reported outcomes
- artificial intelligence
- patient reported
- deep learning
- molecular dynamics simulations
- antiretroviral therapy
- sensitive detection