Browsing by Author "Deep, Jashan"

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    Utilizing Next-Generation Sequencing: Advancements in the Diagnosis of Fungal Infections
    (MDPI, 2024-08-01) Naik, Sheetal; Kashyap, Dharambir; Deep, Jashan; Darwish, Saif; Cross, Joseph; Mansoor, Edmond; Garg, Vivek Kumar; Honnavar, Prasanna; Medicine, School of Medicine
    Next-generation sequencing (NGS) has emerged as a promising tool for diagnosing fungal infections. It enables the identification of a wide range of fungal species and provides more accurate and rapid results than traditional diagnostic methods. NGS-based approaches involve the sequencing of DNA or RNA from clinical samples, which can be used to detect and identify fungal pathogens in complex clinical samples. The development of targeted gene panels and whole-genome sequencing has allowed for identifying genetic markers associated with antifungal drug resistance, enabling clinicians to tailor patient treatment options. NGS can also provide insights into the pathogenesis of fungal infections and aid in discovering novel drug targets. Although NGS has some limitations, such as cost and data analysis, it can potentially revolutionize the future diagnosis and treatment of fungal infections.