The Computational Evolution group develops mathematical, statistical and computational approaches for understanding evolutionary processes based on genetic data.
We incorporate epidemiological models into phylogenetic inference in order to quantify pathogen dynamics directly from genetic sequencing data.
Through new phylogenetic tools we aim to reconstruct and predict within-host pathogen evolution.
We use phylodynamics to look into the past using both sequencing data from extant species and fossil data from extinct species.
We are organizing a summer school on Bayesian phylogenetic and phylodynamic analysis in BEAST2 with invited talks, lectures and tutorials by leading and renowned experts in the field.
cEvo and TB groups went on a productive lab retreat in Italy.
cEvo ran the SOLA-Stafette in 10:27:22,9.
Martin Ackermann and Nadine Bachmann
Influenza survey: 30’000 questionnaires were distributed to households in Basel in order to better understand the spread of seasonal influenza.
An SNF Interdisciplinary grant received!
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