Briardo Llorente

GenDiMug is a multigraph framework for analyzing genomic organization and multi-omics data across scales, revealing gene expression clumping and circadian regulation in a photosynthetic alga.

This paper introduces a PEG-based protocol to deliver Escherichia coli and Candidatus Kinetoplastibacterium crithidii into mammalian cells without genetic modification or specialized equipment.

This study shows that positioning RNAP-encoding genes near the replication origin in fast-growing bacteria is essential for optimal growth and gene dosage effects.

The paper generates genomic diversity in bacteria through large-scale reconfigurations to study phenotypic robustness to genome organization changes.

The paper debugs a synthetic yeast chromosome and uses laboratory evolution to identify genomic rearrangements that suppress growth defects caused by synthetic modifications.