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Flexible comparative genomics of prokaryotic transcriptional regulatory networks.

Sefa KılıçMiquel Sánchez-OsunaAntonio Collado-PadillaJordi BarbéIvan Erill
Published in: BMC genomics (2020)
Our results demonstrate the applicability of the CGB pipeline in multiple settings. CGB's ability to automatically integrate experimental information from multiple sources and use complete and draft genomic data, coupled with its non-reliance on precomputed databases and its easily interpretable display of gene-centered posterior probabilities of regulation provide users with an unprecedented level of flexibility in launching comparative genomics analyses of prokaryotic transcriptional regulatory networks. The analyses of type III secretion and SOS response regulatory networks illustrate instances of convergent and divergent evolution of these regulatory systems, showcasing the power of formal ancestral state reconstruction at inferring the evolutionary history of regulatory networks.
Keyphrases
  • transcription factor
  • type iii
  • gene expression
  • single cell
  • copy number
  • genome wide
  • healthcare
  • drinking water
  • machine learning
  • heat shock
  • social media