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- John A Lees, Marco Galardini, Stephen D Bentley, Jeffrey N Weiser, and Jukka Corander.
- Department of Microbiology, New York University School of Medicine, New York, NY, USA.
- Bioinformatics. 2018 Dec 15; 34 (24): 4310-4312.
SummaryGenome-wide association studies (GWAS) in microbes have different challenges to GWAS in eukaryotes. These 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.Availability 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.Supplementary InformationSupplementary data are available at Bioinformatics online.
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