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BioinformaticsJournal of Bioinformatics and Systems Biology
Peer-reviewed journal article

AGEpy: a Python package for computational biology

Franziska MetgeiD, Robert SehlkeiD, Ayesha IqbaliD, Jorge Bouças

Abstract

SummaryAGEpy is a Python package focused on the transformation of interpretable data into biological meaning. It is designed to support high-throughput analysis of pre-processed biological data using either local Python based processing or Python based API calls to local or remote servers. In this application note we describe its different Python modules as well as its command line accessible tools aDiff, abed, blasto, david, and obo2tsv.\n\nAvailabilityThe open source AGEpy Python package is freely available at: https://github.com/mpg-age-bioinformatics/AGEpy.\n\nContactjorge.boucas@age.mpg.de

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