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This repository contains R code for the Synthetic Biology course practice from a Master in Computational Biology, analyzing

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Synthetic-Biology-Network-Analysis-on-Regulon-DB-E-coli-Data

This repository contains R code for the Synthetic Biology course practice from a Master in Computational Biology, analyzing the properties of the regulatory network interaction between Transcriptional Factors (TF) and genes gathered in RegulonDB experimental dataset `./network_tf_gene.txt from experimental evidence Escherichia coli (Tierrafría et al., 2022).

Tierrafría, V. H., Rioualen, C., Salgado, H., Lara, P., Gama-Castro, S., Lally, P., Gómez-Romero, L., Peña-Loredo, P., López-Almazo, A. G., Alarcón-Carranza, G., Betancourt-Figueroa, F., Alquicira-Hernández, S., Polanco-Morelos, J. E., García-Sotelo, J., Gaytan-Nuñez, E., Méndez-Cruz, C.-F., Muñiz, L. J., Bonavides-Martínez, C., Moreno-Hagelsieb, G., … Collado-Vides, J. (2022). RegulonDB 11.0: Comprehensive high-throughput datasets on transcriptional regulation in Escherichia coli K-12. Microbial Genomics, 8(5). https://doi.org/10.1099/mgen.0.000833

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