Genome-wide Molecular Dating

Zuckerkandl and Pauling showed 50 years ago that molecular sequences are ‘documents of evolutionary history’. The composition of the molecular sequences of organisms living today has been passed on from ancestors from long ago. Unused segments get lost, new parts are added and small changes occur because replication is not error free. Whatever modifications have happened, they will have left traces in the molecular sequences.

In the advent of next generation sequencing technologies we have thousands of genomes available, however, we lack methods for genome-wide molecular dating.  In this project, we will develop novel methods which will model not only mutations but also processes such as gene duplication, loss and transfer. We will also consider variation within species and devise methods that allow to use the genome-wide DNA sequences of multiple individuals per species to perform molecular dating.

  • New postdoc Svitlana Braichenko

  • MiCPhy goes online

    We’re delighted to announce the MIC-Phy online meeting/workshop 15-17th Feb 2021! More info at

  • COVID-19 & Evolutionary Analysis

    We are hoping to apply our PoMo approach to COVID-19 data. However, because of sequencing errors the data is still not in a state in which advanced evolutionary analysis should be performed (e.g. population trees, estimation of accurate mutation rates, selection). Kosiol Group Alumni Nicola De Maio, Lukas Weilguny (now at the EMBL-European Bioinformatics Institute), … Read more

  • Mathematical, Inferential and Computational Phylogenomics (MICPhy2020) workshop will be postponed to 2021

    Due to concerns regarding COVID19, we have decided to postpone MIC-Phy 2020 to an early 2021 date (probably January or February) that is to be determined at a later time. Please check the workshop webpage for updates  

  • Consistency proof for Bayesian PoMo

    Our newest paper: We prove that the polymorphism-aware phylogenetic models provide a consistent estimator of the species tree when placed in a Bayesian framework. Check it out at:  

  • Genetics Cover designed by Rui Borges

    The August Cover page of Genetics was designed by Rui Borges for his publication “Quantifying GC-Biased Gene Conversion in Great Ape Genomes Using Polymorphism-Aware Models” in the same issue.