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We’re delighted to announce the MIC-Phy online meeting/workshop 15-17th Feb 2021! More info at https://mrborges23.github.io/micphy2021/

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

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 https://www.vetmeduni.ac.at/de/micphy2020/  

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: https://www.sciencedirect.com/science/article/pii/S0022519319304436  

The August Cover page of Genetics was designed by Rui Borges https://www.genetics.org/content/212/4.cover-expansion for his publication “Quantifying GC-Biased Gene Conversion in Great Ape Genomes Using Polymorphism-Aware Models” in the same issue.        

Dr Rui Borges explains evolutionary processes with M&MsR

We attended  MASAMB 2019 and a project group meeting at the European Bioinformatics Institute in Cambridge last week, and were quiet succesful with Asger Hobolth winning “Best Senior Talk” and Gergely Szollosi wining to organize the next MASAMB 2020. See you in Hungary next year!

Standard and APA published an article about  contribution to the Baboon project https://www.derstandard.de/story/2000097256225/einer-oder-sechs-wie-der-pavian-einzuschaetzen-ist https://science.apa.at/site/medizin_und_biotech/detail?key=SCI_20190131_SCI45051703646666088 There is also a press release in English Baboon genomes shed new light on complex evolutionary history

“Polymorphism-aware species trees with advanced mutation models, bootstrap and rate heterogeneity” by Dominik Schrempf, Bui Quang Minh, Arndt von Haeseler, and Carolin Kosiol. https://www.biorxiv.org/content/early/2018/12/01/483479