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Large-scale comparative analysis of microbial pan-genomes using PanOCT.
Jason M Inman1, Granger G Sutton1, Erin Beck1
1Department of Informatics, J. Craig Venter Institute, Rockville, MD, USA.
Bioinformatics (Oxford, England)
|August 31, 2018
Summary
The JCVI Pan-Genome Pipeline analyzes prokaryotic genomes using PanOCT (pan-genome ortholog clustering tool). This tool aids in understanding genetic variations and identifying important genes like antimicrobial resistance genes.
Area of Science:
- Genomics
- Bioinformatics
Background:
- Pan-genome analysis is crucial for understanding genetic diversity in closely related prokaryotic species.
- Existing tools require efficient and integrated pipelines for comprehensive analysis.
Purpose of the Study:
- To introduce the JCVI Pan-Genome Pipeline, a comprehensive toolset for prokaryotic pan-genome analysis.
- To extend the capabilities of the PanOCT tool for enhanced genome comparison and feature identification.
Main Methods:
- The pipeline integrates various command-line utilities and third-party tools, including NCBI Blast+.
- It automates genome preparation, PanOCT execution, consensus pan-genome generation, and feature annotation.
- The pipeline supports hierarchical mode to optimize resource utilization (RAM and compute).
Main Results:
- The JCVI Pan-Genome Pipeline facilitates the analysis of closely related prokaryotic species or strains.
- It enables the detection of specific gene sets, such as antimicrobial resistance (AMR) genes.
- The pipeline generates visualizations including figures, tables, and HTML pages for results interpretation.
Conclusions:
- The JCVI Pan-Genome Pipeline provides a robust and efficient solution for prokaryotic pan-genome analysis.
- Its integrated approach and resource optimization offer significant advantages for researchers in the field.
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