Lygeri Sakellaridi

This study tracks HIV-1 adaptation over 1,500 generations in human T-cell lines, finding a substantial deceleration in adaptive mutation fixation rates and fitness gains.

Heterogeneity-seq identifies causal factors driving heterogeneous cellular responses by combining single-cell RNA-seq with metabolic labeling and double machine learning.

grandR provides tools for analyzing nucleotide conversion sequencing data, including quality control, differential expression, and kinetic modeling, with a Bayesian approach for temporal RNA dynamics.