Welcome, guest | Sign In | My Account | Store | Cart

Notice! PyPM is being replaced with the ActiveState Platform, which enhances PyPM’s build and deploy capabilities. Create your free Platform account to download ActivePython or customize Python with the packages you require and get automatic updates.

pypm install aigo

How to install AIGO

  1. Download and install ActivePython
  2. Open Command Prompt
  3. Type pypm install aigo
 Python 2.7Python 3.2Python 3.3
Windows (32-bit)
0.1.0 Available View build log
Windows (64-bit)
0.1.0 Available View build log
Mac OS X (10.5+)
0.1.0 Available View build log
Linux (32-bit)
0.1.0 Available View build log
Linux (64-bit)
0.1.0 Available View build log
Lastest release
version 0.1.0 on Jul 27th, 2011

AIGO is a python library for the Analysis and the Inter-comparison of Gene Ontology functional annotations. see (http://code.google.com/p/aigo).

Created by Michael Defoin-Platel on 21/02/2010. Copyright (c) 2010. All rights reserved.

Typical usage could look like this:

#!/usr/bin/env python

from AIGO import logger

from AIGO.ReferenceSet import RefSet from AIGO.FunctionalAnnotation import FuncAnnot from AIGO.go.OBO import readGOoboXML

from AIGO.Analyse import AnalyseFA from AIGO.Report import ReportFA

from AIGO.utils.Execute import batchExecute

refSet = RefSet(organism="platypus", fileName="platypus.refSet", refType="Text") G = readGOoboXML("go_daily-termdb.obo-xml") FA = FuncAnnot("platypusProject", refSet, G, organism="platypus") FA.read("platypus.gaf", "GAF")

analyseFA = AnalyseFA()

analyseFA.largestSet([FA]) logger.info("Largest sets of annotations:") logger.info("t%d for %s" % (FA['largestSet']['All_aspects_of_GO'], FA.name))

batchList=["coverage", "richness", "numberAnnot", "redundancy", "specificity", "informationContent"] batchExecute(batchList, analyseFA, [FA])

reportFA = ReportFA(outDir=None, name="platypusProject", organism="platypus") reportFA.printStatistics([FA] ,batchList)


Run testAIGO.py in the tests directory


  • Michael Defoin-Platel
  • Matthew Hindle

Subscribe to package updates

Last updated Jul 27th, 2011

Download Stats

Last month:1

What does the lock icon mean?

Builds marked with a lock icon are only available via PyPM to users with a current ActivePython Business Edition subscription.

Need custom builds or support?

ActivePython Enterprise Edition guarantees priority access to technical support, indemnification, expert consulting and quality-assured language builds.

Plan on re-distributing ActivePython?

Get re-distribution rights and eliminate legal risks with ActivePython OEM Edition.