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

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

Documentation

Links