riboPicker
Automated rRNA sequence identification and removal for metatranscriptomics
RiboPicker detects and removes rRNA-like sequences from metatranscriptomic sequencing data. It processes long-read datasets (≥100 base pairs, optimized for ≥150 base pairs) and classifies identified rRNA reads to improve downstream transcriptome analysis.
Key Features:
- Automated rRNA Detection and Filtering: Identifies and eliminates rRNA-like sequences from metatranscriptomic reads using regularly updated reference databases.
- Long-Read Compatibility: Supports processing of sequencing reads ≥100 base pairs, optimized for datasets ≥150 base pairs.
- Taxonomic Classification: Assigns taxonomic classifications to detected rRNA sequences.
- Coverage and Alignment Reporting: Outputs ribosomal coverage data, alignment results, and associated tabular summaries.
Scientific Applications:
- Metatranscriptomic Data Preprocessing: Enhances microbial ecology, environmental biology, and functional genomics studies by removing rRNA reads that confound gene expression profiling.
Methodology:
RiboPicker aligns metatranscriptomic reads against curated rRNA reference databases to identify rRNA-like sequences, removes matched reads from datasets, and reports coverage statistics, alignment information, and taxonomic classifications.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 1/13/2017
- Last Updated:
- 12/10/2018
Operations
Data Inputs & Outputs
Filtering
Inputs
Publications
Schmieder R, et al. Identification and removal of ribosomal RNA sequences from metatranscriptomes. Bioinformatics. 2012; 28:433-5. doi: 10.1093/bioinformatics/btr669
PMID: 22155869