Skip to main content

MetaPhlAn: Metagenomic Phylogenetic Analysis

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

What's new in version 3

  • New MetaPhlAn marker genes extracted with a newer version of ChocoPhlAn based on UniRef
  • Estimation of metagenome composed by unknown microbes with parameter --unknown_estimation
  • Automatic retrieval and installation of the latest MetaPhlAn database with parameter --index latest
  • Virus profiling with --add_viruses
  • Calculation of metagenome size for improved estimation of reads mapped to a given clade
  • Inclusion of NCBI taxonomy ID in the ouput file
  • CAMI (Taxonomic) Profiling Output Format included
  • Removal of reads with low MAPQ values

Description

MetaPhlAn is a computational tool for profiling the composition of microbial communities (Bacteria, Archaea and Eukaryotes) from metagenomic shotgun sequencing data (i.e. not 16S) with species-level. With the newly added StrainPhlAn module, it is now possible to perform accurate strain-level microbial profiling.

MetaPhlAn relies on ~1.1M unique clade-specific marker genes (the latest marker information file mpa_v30_CHOCOPhlAn_201901_marker_info.txt.bz2 can be found here) identified from ~100,000 reference genomes (~99,500 bacterial and archaeal and ~500 eukaryotic), allowing:

  • unambiguous taxonomic assignments;
  • accurate estimation of organismal relative abundance;
  • species-level resolution for bacteria, archaea, eukaryotes and viruses;
  • strain identification and tracking
  • orders of magnitude speedups compared to existing methods.
  • metagenomic strain-level population genomics

If you use MetaPhlAn, please cite:

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

If you use StrainPhlAn, please cite the MetaPhlAn paper and the following 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 27:626-638 (2017)


Installation

The best way to install MetaPhlAn is through conda via the Bioconda channel. If you have not configured you Anaconda installation in order to fetch packages from Bioconda, please follow these steps in order to setup the channels.

You can install MetaPhlAn by running

$ conda install -c bioconda python=3.7 metaphlan

For installing it from the source code and for further installation instructions, please see the Wiki at the Installation paragraph.


MetaPhlAn and StrainPhlAn tutorials and resources

In addition to the information on this page, you can refer to the following additional resources.

Download files

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

Source Distribution

MetaPhlAn-3.0.9.tar.gz (283.1 kB view details)

Uploaded Source

Built Distribution

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

MetaPhlAn-3.0.9-py3-none-any.whl (302.0 kB view details)

Uploaded Python 3

File details

Details for the file MetaPhlAn-3.0.9.tar.gz.

File metadata

  • Download URL: MetaPhlAn-3.0.9.tar.gz
  • Upload date:
  • Size: 283.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10

File hashes

Hashes for MetaPhlAn-3.0.9.tar.gz
Algorithm Hash digest
SHA256 7911ce97da5fa8dfa89f55cecab0cebaa90ccb8e581ca70b27ca4c05429adcf8
MD5 3a901397d9ef509b1000a55c2d441780
BLAKE2b-256 ca4e1c28069acde0ce6799f89a028c997b6676150da6b5a4d43139d6c183b731

See more details on using hashes here.

File details

Details for the file MetaPhlAn-3.0.9-py3-none-any.whl.

File metadata

  • Download URL: MetaPhlAn-3.0.9-py3-none-any.whl
  • Upload date:
  • Size: 302.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.7.10

File hashes

Hashes for MetaPhlAn-3.0.9-py3-none-any.whl
Algorithm Hash digest
SHA256 39aef46fa00bf28dbca459441c082cd50648a84fd095d08a940f43a85e99c0ec
MD5 f7ac57f6aeb213435e28fdbfffd9ff0f
BLAKE2b-256 f949a4b7e5017e435e6478856e5c5f596e394dc4cdbbb66351c2770273a8bab7

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