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BioinformaticsBioinformatics
Peer-reviewed journal article

pyseer: a comprehensive tool for microbial pangenome-wide association studies

John A. LeesiD, Marco GalardiniiD, Stephen D. BentleyiD, Jeffrey N. WeiseriD, Jukka CoranderiD

Abstract

SummaryGenome-wide association studies (GWAS) in microbes face different challenges to eukaryotes and have been addressed by a number of different methods. pyseer brings these techniques together in one package tailored to microbial GWAS, allows greater flexibility of the input data used, and adds new methods to interpret the association results.\n\nAvailability and Implementationpyseer is written in python and is freely available at https://github.com/mgalardini/pyseer, or can be installed through pip. Documentation and a tutorial are available at http://pyseer.readthedocs.io.\n\nContactjohn.lees@nyumc.org and marco@ebi.ac.uk\n\nSupplementary informationSupplementary data are available online.

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02 /Specification & Classification

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