FITBAR: a web tool for the robust prediction of prokaryotic regulons
2010
FITBAR: A Tool for Predicting Prokaryotic Regulons
publication
Evidence: high
Author Information
Author(s): Oberto Jacques
Primary Institution: Université Paris-Sud 11, CNRS, UMR8621, Institut de Génétique et Microbiologie
Hypothesis
Can a web tool accurately predict prokaryotic regulons using statistical methods?
Conclusion
FITBAR provides fast, accurate, and statistically robust predictions of prokaryotic regulons.
Supporting Evidence
- FITBAR was validated experimentally in vitro and in vivo.
- The tool allows for real-time analysis of prokaryotic genomes.
- It provides a user-friendly interface for visualizing binding sites.
Takeaway
FITBAR is like a smart helper that finds important spots on bacteria's DNA where proteins can attach, helping scientists understand how genes work together.
Methodology
FITBAR uses two algorithms to detect new binding sites and calculate their P-values in real time.
Limitations
Existing PSSM search programs rely on arbitrary threshold values, which can lead to false positives.
Digital Object Identifier (DOI)
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