V-Xtractor

V-Xtractor extracts and verifies defined hypervariable regions V1-V9 from small-subunit ribosomal RNA (rRNA) sequences across bacterial, archaeal, and fungal domains using Hidden Markov Models.

Key Features:

• HMM-based detection and extraction: Applies Hidden Markov Models to locate, verify, and extract hypervariable segments V1-V9 from small-subunit rRNA sequences.
• High Detection Efficiency: Reports a detection efficiency of 99.6% for target hypervariable regions.
• Low False-Positive Rate: Minimizes false-positive identifications of hypervariable segments.
• Versatility Across Domains: Processes small-subunit rRNA sequences from bacteria, archaea, and fungi.

Scientific Applications:

• Community profiling: Extraction of V1-V9 segments for community-level assays and marker-based analyses.
• Phylogenetic analysis: Provides hypervariable segments used for reconstructing phylogenetic relationships.
• Species identification: Supplies targeted rRNA regions for taxonomic assignment and species-level identification.
• Microbial diversity assessment: Enables assessment of microbial diversity within environmental samples.

Methodology:

Application of Hidden Markov Models to identify, verify, and extract hypervariable regions V1-V9 from small-subunit rRNA sequences.