AGEpy: a Python package for computational biology

Metge, F.; Sehlke, R.; Boucas, J.

doi:10.1101/450890

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AGEpy: a Python package for computational biology

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Metge, F.
Bioinformatics, Core Facilities, Max Planck Institute for Biology of Ageing, Max Planck Society;

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Sehlke, R.
Department Partridge - Biological Mechanisms of Ageing, Max Planck Institute for Biology of Ageing, Max Planck Society;

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Boucas, J.
Bioinformatics, Core Facilities, Max Planck Institute for Biology of Ageing, Max Planck Society;

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https://www.biorxiv.org/content/biorxiv/early/2018/10/24/450890.full.pdf
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Metge, F., Sehlke, R., & Boucas, J. (2018). AGEpy: a Python package for computational biology. bioRxiv, 450890. doi:10.1101/450890.

Cite as: https://hdl.handle.net/21.11116/0000-000B-44B0-1

Abstract

Summary: AGEpy 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.Availability: The open source AGEpy Python package is freely available at: https://github.com/mpg-age-bioinformatics/AGEpy.Contact: jorge.boucas{at}age.mpg.de