SegataLab / panphlan

PanPhlAn is a strain-level metagenomic profiling tool for identifying the gene composition of individual strains in metagenomic samples
MIT License
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bioinformatics gene-composition metagenomics microbiome pangenome

PanPhlAn 3 - strain detection and characterization

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For any help see :

Pangenome-based Phylogenomic Analysis

PanPhlAn is a strain-level metagenomic profiling tool for identifying the gene composition of individual strains in metagenomic samples. PanPhlAn’s ability for strain-tracking and functional analysis of unknown pathogens makes it an efficient tool for culture-free microbial population studies.

PanPhlAn is written in Python and covers the 3 main tasks:

For custom pangenome generation (advanced) see the PanPhlAn exporter


PanPhlAn runs under Ubuntu/Linux and requires the following software tools to be installed on your system:

And the following Python libraries:

PanPhlAn is also available in bioconda :

conda install -c bioconda panphlan 

If you use PanPhlAn, please cite:

Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3 Francesco Beghini, Lauren J McIver, Aitor Blanco-Miguez, Leonard Dubois, Francesco Asnicar, Sagun Maharjan, Ana Mailyan, Andrew Maltez Thomas, Paolo Manghi, Matthias Scholz, Mireia Valles-Colomer, George Weingart, Yancong Zhang, Moreno Zolfo, Curtis Huttenhower, Eric A Franzosa, Nicola Segata. eLife (2021)


PanPhlAn is a project of the Computational Metagenomics Lab at CIBIO, University of Trento, Italy