Luca Albergante

The paper introduces rROMA, a software package for computing gene set activity from omics data, and applies it to cystic fibrosis transcriptomic data to identify disease-related pathways and potential biases.

STREAM is an interactive pipeline for reconstructing and visualizing complex branching trajectories from single-cell transcriptomic and epigenomic data.

The paper shows that high gene dosages alter transcriptional regulation of genetic structures, leading to monoallelic expression and cell population heterogeneity, with implications for synthetic biology.

The paper explains a VSG hierarchy in Trypanosoma brucei infections through a growth-rate mechanism linked to VSG length, showing shorter VSGs trigger immune responses while longer VSGs persist due to slower growth.

The paper identifies linear regulatory chains as universal attenuators in gene regulatory networks, showing they dampen expression variation and interact with feedback loops across organisms.