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-4.2.5.tar.gz (5.7 MB view details)

Uploaded Source

Built Distribution

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

metaphlan-4.2.5-py3-none-any.whl (6.0 MB view details)

Uploaded Python 3

File details

Details for the file metaphlan-4.2.5.tar.gz.

File metadata

  • Download URL: metaphlan-4.2.5.tar.gz
  • Upload date:
  • Size: 5.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.17

File hashes

Hashes for metaphlan-4.2.5.tar.gz
Algorithm Hash digest
SHA256 5bc18f3a95f00ab5978f9d7473f1dad7f28cdbb4be3b4bb69f049a4e49570f8f
MD5 76719a06d0789baea1ba9e65faf91e27
BLAKE2b-256 ba879d2d65fff3001bcb5d7ea2da0437140553f5aa315166780e6d102e95f218

See more details on using hashes here.

File details

Details for the file metaphlan-4.2.5-py3-none-any.whl.

File metadata

  • Download URL: metaphlan-4.2.5-py3-none-any.whl
  • Upload date:
  • Size: 6.0 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.10.17

File hashes

Hashes for metaphlan-4.2.5-py3-none-any.whl
Algorithm Hash digest
SHA256 4b5e5c6472c2527751c5ffb08fa0d4bd80b5a06400868c169cd97ebee59bb655
MD5 2091b3733dbe51c4c1818fffe13b9231
BLAKE2b-256 cbf0ca9c847c46822a6b987b139b72a028fdd60c943099d8d750eed3ffa917f6

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