/panphlan

PanPhlAn is a strain-level metagenomic profiling tool for identifying the gene composition of individual strains in metagenomic samples

Primary LanguagePythonMIT LicenseMIT

PanPhlAn 3 - strain detection and characterization

Help

For any help see :

  • The PanPhlan wiki
  • The PanPhlAn step-by-step tutorial
  • The bioBakery help forum for overall discussions on various metagenomics softwares. (Purely technical issues should better be raised on GitHub than on the forum.)

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:

  • panphlan_download_pangenome.py, to download pangenome files (fasta file of contigs, BowTie2 indexes and general information) for over 3,000 species
  • panphlan_map.py, to profile each metagenomic sample by mapping it against the species of interest
  • panphlan_profile.py, to merge and process the mapping results in order to get the final gene presence/absence matrix

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:

  • Bowtie2 (bowtie2 >=2.3.0)
  • Samtools (samtools >=1.9)
  • Python 3 (python >=3.7)

And the following Python libraries:

  • numpy
  • pandas
  • scipy

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