Skip to main content

MetaPhlAn: Metagenomic Phylogenetic Analysis

install with bioconda PyPI - Downloads MetaPhlAn on DockerHub Build MetaPhlAn package

MetaPhlAn is a computational tool for species-level microbial profiling (bacteria, archaea, eukaryotes, and viruses) from metagenomic shotgun sequencing data. StrainPhlAn (available within MetaPhlAn) allows strain-level microbial population genomics.


Installation

To install MetaPhlan through conda run:

$ conda install -c bioconda metaphlan

For further installation instructions and alternative installation methods check the MetaPhlAn documentation.


Citation

If you use MetaPhlAn, please cite:

Extending and improving metagenomic taxonomic profiling with uncharacterized species using MetaPhlAn 4. Aitor Blanco-Miguez, Francesco Beghini, Fabio Cumbo, Lauren J. McIver, Kelsey N. Thompson, Moreno Zolfo, Paolo Manghi, Leonard Dubois, Kun D. Huang, Andrew Maltez Thomas, Gianmarco Piccinno, Elisa Piperni, Michal Punčochář, Mireia Valles-Colomer, Adrian Tett, Francesca Giordano, Richard Davies, Jonathan Wolf, Sarah E. Berry, Tim D. Spector, Eric A. Franzosa, Edoardo Pasolli, Francesco Asnicar, Curtis Huttenhower, Nicola Segata. Nature Biotechnology (2023)

If you use StrainPhlAn, please cite the MetaPhlAn paper and the StrainPhlAn paper:

Microbial strain-level population structure and genetic diversity from metagenomes. Duy Tin Truong, Adrian Tett, Edoardo Pasolli, Curtis Huttenhower, Nicola Segata. Genome Research (2017)

If you use the MetaPhlAn viral module, please cite the MetaPhlAn paper and the MetaPhlan viral module paper:

Discovering and exploring the hidden diversity of human gut viruses using highly enriched virome samples. Moreno Zolfo, Andrea Silverj, Aitor Blanco-Míguez, Paolo Manghi, Omar Rota-Stabelli, Vitor Heidrich, Jordan Jensen, Sagun Maharjan, Eric Franzosa, Cristina Menni, Alessia Visconti, Federica Pinto, Matteo Ciciani, Curtis Huttenhower, Anna Cereseto, Francesco Asnicar, Hiroaki Kitano, Takuji Yamada, Nicola Segata. bioRxiv (2024)


Tutorials and resources

MetaPhlAn and StrainPhlAn are part of the bioBakery suite. For further bioBakery tools and tutorials visit the bioBakery wiki.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

MetaPhlAn-4.1.2.tar.gz (5.2 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

MetaPhlAn-4.1.2-py3-none-any.whl (5.3 MB view details)

Uploaded Python 3

File details

Details for the file MetaPhlAn-4.1.2.tar.gz.

File metadata

  • Download URL: MetaPhlAn-4.1.2.tar.gz
  • Upload date:
  • Size: 5.2 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.17

File hashes

Hashes for MetaPhlAn-4.1.2.tar.gz
Algorithm Hash digest
SHA256 1a984fc3796d3e666971619ce39eaeb7616679cf85441ad7152e346af22c473a
MD5 26f88bbc239a248ae7462d94d8b87fa1
BLAKE2b-256 be8541cfc25b4b58536045541e999cdf92bbcd4cf25ddc220e1b347776c9e457

See more details on using hashes here.

File details

Details for the file MetaPhlAn-4.1.2-py3-none-any.whl.

File metadata

  • Download URL: MetaPhlAn-4.1.2-py3-none-any.whl
  • Upload date:
  • Size: 5.3 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.17

File hashes

Hashes for MetaPhlAn-4.1.2-py3-none-any.whl
Algorithm Hash digest
SHA256 0a116b2a49551df4979d369e47162f9b0f41a84e503d4f178ec22ef9baf4a5ac
MD5 48f25ff7cb5779b2668436f6026e9c22
BLAKE2b-256 ee0ffc1464bd282bb5f1458e7e43598a88e8b569dd5ca68031c5555c1616ef78

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page