PHIRE

PHIRE identifies and extracts conserved regulatory elements from bacteriophage genomes using a deterministic string-based sequence-similarity approach to support study of phage gene regulation.

Key Features:

• Implementation: Implemented as a standalone Visual Basic application.
• Algorithmic String-Based Search: Uses a deterministic string-based algorithm to perform sequence similarity searches within bacteriophage genomes to detect conserved blocks corresponding to regulatory elements.
• Independence from Prior Knowledge: Operates without prior experimental or predictive knowledge, enabling unbiased discovery of regulatory sequences.
• Subsequence Alignment Extraction: Extracts subsequence alignments indicative of regulatory elements from scanned genome sequences.
• Validation on Known Phages: Validated on bacteriophages T7, T3, YeO3-12, and lambda using genomic data with verified regulatory elements.
• Novel Predictions: Identified novel conserved phage-specific putative regulatory elements across 11 bacteriophages.

Scientific Applications:

• Regulatory element discovery: Identification and extraction of conserved regulatory motifs and blocks in bacteriophage genomes for studies of gene regulation.
• Comparative phage genomics: Comparative analysis of regulatory sequence conservation across phage genomes to inform evolutionary and functional studies.
• Applied research: Generation of candidate regulatory elements that can inform research in microbial ecology, biotechnology, and phage therapy development.

Methodology:

Performs deterministic string-based sequence similarity searches across bacteriophage genome sequences and extracts conserved subsequence alignments indicative of regulatory elements while operating without prior experimental or predictive input.