Phoenix 2: a locally installable large-scale 16S rRNA gene sequence analysis pipeline with Web interface

Area of Science:

• Microbiology
• Bioinformatics
• Computational Biology

Background:

• Large-scale sequencing projects generate massive datasets that require efficient processing.
• Analyzing ribosomal RNA (rRNA) gene sequences is crucial for understanding microbial community structure and function.
• Existing pipelines may struggle with the scale and complexity of modern metagenomic data.

Purpose of the Study:

• To develop and present Phoenix 2, a robust and scalable pipeline for ribosomal RNA gene sequence analysis.
• To enable rapid processing of large-scale environmental datasets (e.g., >1 million reads).
• To provide a comprehensive suite of analytical results, including taxonomic annotation and diversity metrics.

Main Methods:

• Development of a pipeline integrating open-source tools and custom Perl scripts.
• Implementation of sequence redundancy removal, pre-partitioning, and parallelized clustering for efficient data handling.
• Utilizing hardware-accelerated searches, with options for generic computing infrastructure.

Main Results:

• Phoenix 2 successfully processes large datasets from over 1500 environmental samples.
• The pipeline generates comprehensive results: taxonomic annotations, alpha and beta diversity indices, and visualizations.
• Efficient data handling is achieved through optimized sequence processing techniques.

Conclusions:

• Phoenix 2 offers a powerful solution for analyzing large-scale ribosomal RNA gene sequence data.
• The pipeline facilitates in-depth study of diverse microbial communities.
• Phoenix 2 is available as a free, installable software suite with a web interface.