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Harnessing indel history statistics for molecular biomarker detection in viral genomes

Beschreibung

Indels amount to ~25% of genomic variation and can serve as molecular markers. Standard bioinformatic pipelines lack analyses of indel dynamics. Recently my team developed indel-aware methods for inferring molecular evolutionary history. Together with the Swiss HIV Cohort Study we will develop indel history statistics for detecting indel biomarkers related to immune escape and drug resistance.

Eckdaten

Projektleitung

Projektteam

Ding Yang Wang, Prof. Dr. Roger Kouyos (Universitätsspital Zürich), Prof. Dr. Alexandra Trkola (Universität Zürich)

Projektpartner

Universität Zürich; Universitätsspital Zürich

Projektstatus

laufend, gestartet 08/2025

Institut/Zentrum

Institut für Computational Life Sciences (ICLS)

Drittmittelgeber

Digitalisierungsinitiative der Zürcher Hochschulen DIZH / DIZH Fellows 2025

Projektvolumen

300'000 CHF