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  AGEpy: a Python package for computational biology

Metge, F., Sehlke, R., & Boucas, J. (2018). AGEpy: a Python package for computational biology. bioRxiv, 450890. doi:10.1101/450890.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000B-44B0-1 Version Permalink: https://hdl.handle.net/21.11116/0000-000B-44B1-0
Genre: Journal Article

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https://www.biorxiv.org/content/biorxiv/early/2018/10/24/450890.full.pdf (Any fulltext)
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 Creators:
Metge, F.1, Author           
Sehlke, R.2, Author           
Boucas, J.1, Author           
Affiliations:
1Bioinformatics, Core Facilities, Max Planck Institute for Biology of Ageing, Max Planck Society, ou_1942302              
2Department Partridge - Biological Mechanisms of Ageing, Max Planck Institute for Biology of Ageing, Max Planck Society, ou_1942287              

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 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

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 Dates: 2018-10-242018
 Publication Status: Issued
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 Identifiers: DOI: 10.1101/450890
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Title: bioRxiv
Source Genre: Journal
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 450890 Identifier: -