Multiple efforts have been made to comprehend the regulatory machinery of model prokaryotic organisms, such as Escherichia coli and Bacillus subtilis. However, the lack of unification of published regulatory data reduces the potential of reconstructing whole genome transcriptional regulatory networks. The work hereby discussed, focuses on the retrieval and integration of relevant regulatory data from multiple resources, including databases, such as RegulonDB and DBTBS as well as available literature. This study presents state-of-art, reconciled transcriptional regulatory networks of the previously mentioned model organisms, as well as a topological and functional analysis.
CITATION STYLE
Lima, D., Cruz, F., Rocha, M., & Dias, O. (2021). Reconciliation of Regulatory Data: The Regulatory Networks of Escherichia coli and Bacillus subtilis. In Advances in Intelligent Systems and Computing (Vol. 1240 AISC, pp. 155–165). Springer. https://doi.org/10.1007/978-3-030-54568-0_16
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