Harnessing indel history statistics for molecular biomarker detection in viral genomes
Description
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.
Key data
Projectlead
Project team
Ding Yang Wang, Prof. Dr. Roger Kouyos (Universitätsspital Zürich), Prof. Dr. Alexandra Trkola (Universität Zürich)
Project partners
Universität Zürich; Universitätsspital Zürich
Project status
ongoing, started 08/2025
Institute/Centre
Institute of Computational Life Sciences (ICLS)
Funding partner
Digitalisierungsinitiative der Zürcher Hochschulen DIZH / DIZH Fellows 2025
Project budget
300'000 CHF