PRODORIC

PRODORIC provides a curated database of prokaryotic transcription factor binding sites and associated regulatory annotations to support analysis of bacterial gene regulation.


Key Features:

  • Extensive Data Collection: Contains one of the largest collections of prokaryotic transcription factor binding sites compiled from multiple bacterial organisms.
  • API-based backend: Maintains an API-based backend for programmatic access to its dataset.
  • Visualization Tools: Integrates visualization tools including Genome Browser and ProdoNet for exploration of transcription factor binding data.
  • Position Weight Matrix Search: Supports position weight matrix pattern-based searches with restored input and output options from the Virtual Footprint tool.
  • Reannotation and Quality Improvement: Re-evaluated and reannotated all binding sites, adding parameters such as bound effectors, regulation type, and types of experimental evidence.
  • Expanded Content: Latest release includes 109 new transcription factors and six newly added organisms.

Scientific Applications:

  • Identification of regulatory elements: Enables detection and cataloging of transcription factor binding sites across bacterial genomes.
  • Prediction of gene function: Provides regulatory context to support inference of gene function from transcriptional regulation patterns.
  • Evolutionary and comparative analyses: Facilitates exploration of regulatory relationships and conservation among bacterial species.

Methodology:

Rigorous re-evaluation and reannotation of transcription factor binding sites integrating multiple types of experimental evidence and annotating bound effectors and regulation types.

Topics

Details

License:
CC-BY-NC-4.0
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
5/18/2022
Last Updated:
5/18/2022

Operations

Publications

Dudek C, Jahn D. PRODORIC: state-of-the-art database of prokaryotic gene regulation. Nucleic Acids Research. 2021;50(D1):D295-D302. doi:10.1093/nar/gkab1110. PMID:34850133. PMCID:PMC8728284.