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