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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

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