Skip to main content

Automatic reconstruction of draft metabolic networks with Pathway Tools and graph-based metabolic analysis

Project description

metage2metabo is a Python3 workflow to perform graph-based metabolic analysis starting from annotated genomes. It uses Pathway Tools in a automatic and parallel way to reconstruct metabolic networks for a large number of genomes. The obtained metabolic networks are then analyzed individually and collectively in order to get the added value of cooperation in microbiota over individual metabolism, and to identify and screen interesting organisms among all. More information on usage and troubleshooting on Github: https://github.com/aureme/metage2metabo

Project details


Download files

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

Source Distribution

Metage2Metabo-1.1.5.tar.gz (2.9 MB view details)

Uploaded Source

File details

Details for the file Metage2Metabo-1.1.5.tar.gz.

File metadata

  • Download URL: Metage2Metabo-1.1.5.tar.gz
  • Upload date:
  • Size: 2.9 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.9.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/40.8.0 requests-toolbelt/0.9.1 tqdm/4.19.5 CPython/3.6.8

File hashes

Hashes for Metage2Metabo-1.1.5.tar.gz
Algorithm Hash digest
SHA256 3529acc4d0fab20c84c6660206c0300d7a5d2b44ab6f8e8b1a8dbea6b560b6ff
MD5 9d2602e81a2dfb8cf2556ec39977a13b
BLAKE2b-256 52c3d54645f3fd0b869631fc2b52582665b109b087013cd727196eecf9d8c6d1

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 Pingdom Monitoring Sentry Error logging StatusPage Status page