Juan M. Escorcia-Rodríguez

The paper evaluates gene regulatory network inference methods by analyzing the impact of network structure and data quality on performance, finding that regulatory interaction methods outperform co-expression methods in global inference.

The paper curates and infers a gene regulatory network for Streptomyces coelicolor, identifying novel transcription factors and comparing network conservation with Corynebacterium glutamicum.

This study constructs three regulatory network models for Corynebacterium glutamicum, incorporating experimental data, non-directed experiments, and small RNA-mediated regulations, revealing structural differences and insights into its regulatory system.

Abasy Atlas v2.2 provides a comprehensive inventory of bacterial regulatory networks, their completeness, and historical snapshots to enable cross-organism analysis and improve network curation.