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Related Experiment Video

Updated: Mar 26, 2026

Navigating MARRVEL, a Web-Based Tool that Integrates Human Genomics and Model Organism Genetics Information
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NINJA-OPS: Fast Accurate Marker Gene Alignment Using Concatenated Ribosomes.

Gabriel A Al-Ghalith1, Emmanuel Montassier2,3, Henry N Ward4

  • 1Biomedical Informatics and Computational Biology, University of Minnesota, Minneapolis, Minnesota, United States of America.

Plos Computational Biology
|January 29, 2016
PubMed
Summary

NINJA Is Not Just Another OTU-Picking Solution (NINJA-OPS) is a novel bioinformatics tool for fast and accurate microbial marker gene matching. It significantly speeds up operational taxonomic unit (OTU) picking for microbiome studies.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Microbiome Research

Background:

  • Next-generation sequencing (NGS) generates vast amounts of short-read genomics data.
  • Short-read mapping is crucial for assembling genomes and analyzing microbial communities.
  • Existing methods for microbial marker gene sequencing often rely on heuristic approaches.

Purpose of the Study:

  • To introduce NINJA Is Not Just Another OTU-Picking Solution (NINJA-OPS, or NINJA), a novel method for reference-based marker gene matching.
  • To provide a fast, accurate, and memory-efficient solution for operational taxonomic unit (OTU) picking.
  • To enable efficient analysis of microbiome data from short-read sequencing.

Main Methods:

  • NINJA utilizes Burrows-Wheeler (BW) alignment with a 'concatesome' (concatenated reference sequences) as input.
  • The method supports paired-end reads with variable insert sizes.
  • It incorporates pre-filtering techniques for enhanced speed and integrates with existing bioinformatics tools.

Main Results:

  • NINJA achieves accuracy comparable to or exceeding existing reference-based OTU-picking methods.
  • It demonstrates an order of magnitude or greater speedup in processing times.
  • The tool uses a significantly reduced memory footprint compared to previous methods.

Conclusions:

  • NINJA-OPS offers a highly efficient and accurate solution for reference-based OTU picking in microbiome studies.
  • The pipeline can process an entire MiSeq run of 16S rRNA gene data in under 10 minutes on standard hardware.
  • NINJA is a free, open-source tool that simplifies and accelerates microbiome data analysis.