rrna-prediction-patterns
CommunityGuidelines for robust rRNA detection workflows.
Authorroeimed0
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides comprehensive guidelines for implementing ribosomal RNA detection and prediction across prokaryotic and eukaryotic organisms. It covers sequence patterns, secondary structure considerations, HMM models, BLAST-based detection, length validation, and quality scoring to ensure accurate identification and robust validation.
Core Features & Use Cases
- Multi-method detection: HMM, BLAST, and conserved-pattern searches to identify rRNA types (16S, 18S, 23S, 28S, 5S, 5.8S).
- Length validation & conservation checks: Validate sequence length against expected ranges and verify conserved regions for completeness.
- Quality scoring & error handling: Provide confidence measures and gracefully handle partial or ambiguous predictions.
- Use Case: Integrate into bioinformatics pipelines to annotate rRNA genes in bacterial and eukaryotic genomes, enable quality control, and support phylogenetic analyses.
Quick Start
Review the SKILL.md to incorporate HMM-based, BLAST-based, and pattern-driven rRNA detection into your pipeline.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: rrna-prediction-patterns Download link: https://github.com/roeimed0/rrna-phylo/archive/main.zip#rrna-prediction-patterns Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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