Carolin Kosiol

The paper characterizes visual system development in eight spider species to understand how diverse eye configurations arise and evolve.

The paper introduces oHMMed, a Hidden Markov Model for genomic segmentation, and applies it to analyze base composition, gene density, and chromatin features across multiple species.

The paper introduces PoMos, a polymorphism-aware method for species tree estimation and evolutionary force analysis using RevBayes, finding mutation and selection biases in grasshopper phylogeny.

The paper quantifies GC-biased gene conversion in great ape genomes using a new polymorphism-aware model that accounts for allelic selection and demography.

This paper introduces PoMo, a polymorphism-aware phylogenetic model that improves species tree inference by accounting for polymorphisms and integrates advanced mutation models and rate heterogeneity.

This paper introduces revPoMo, a polymorphism-aware phylogenetic model that improves species tree estimation accuracy without increasing runtime with larger sample sizes.

PoMo estimates species trees using allele frequencies, outperforming existing methods in accuracy and speed for genome-wide data with incomplete lineage sorting.