Ludvig Lizana

This paper uses a network approach to analyze DNA methylation clocks, revealing module structures that improve clock performance and transferability across platforms.

The paper integrates enhancer-promoter interactions and RNA-DNA contacts to show RNA's role in modulating cis-regulatory networks during neural differentiation.

The paper assesses microbial interactions across environments using genome-scale metabolic networks, finding that most bacterial pairs can both compete and cooperate depending on resource availability.

The paper develops a computational model to forecast H3K27 methylation dynamics in Drosophila with high temporal resolution and shows that PRC2 activity and replication frequency define methylated H3K27 pools.

The paper uses a Monte Carlo-Molecular Dynamics simulation to show that PRC1 interaction with H3K27me3 causes chromatin folding and DNA element clustering.

This paper analyzes Hi-C data to reveal that chromosome folding is not strictly hierarchical but includes nested and non-nested community structures, with active chromatin associated with nesting.