rRNASelector

rRNASelector identifies ribosomal RNA (rRNA) genes in metagenomic and metatranscriptomic sequencing datasets using Hidden Markov Models (HMMs).

Key Features:

• HMM-Based rRNA Detection: Applies Hidden Markov Models trained on curated rRNA sequence databases to detect rRNA genes with high sensitivity and specificity.
• Comprehensive Prokaryotic rRNA Coverage: Identifies major rRNA gene types, including 5S, 16S/18S, 23S, and 26S/28S rRNAs, from next-generation sequencing datasets such as Roche 454 FLX Titanium.

Scientific Applications:

• Metagenomic Taxonomic Profiling: Extracts phylogenetic marker genes for microbial community analysis and downstream functional annotation.

Methodology:

rRNASelector employs Hidden Markov Models trained on curated rRNA references to scan large-scale metagenomic and metatranscriptomic sequences, isolating rRNA gene regions for phylogenetic and taxonomic analysis.